[{"data":1,"prerenderedAt":369},["ShallowReactive",2],{"slug-bioethical-issues":3},{"post":4,"relatedPosts":226,"relatedBooks":368},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":10,"modified_gmt":11,"slug":12,"status":13,"type":14,"link":15,"title":16,"content":18,"excerpt":21,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":29,"categories":30,"tags":39,"project_category":65,"contact_email_category":71,"yst_prominent_words":72,"class_list":87,"better_featured_image":132,"acf":164,"yoast_meta":170,"_links":173},13151,"2023-01-31T10:00:00","2023-01-31T09:00:00",{"rendered":9},"http:\u002F\u002Fmedicalfuturist.com\u002F?p=13151","2023-01-29T07:36:09","2023-01-29T06:36:09","bioethical-issues","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fbioethical-issues",{"rendered":17},"TOP 10 Dangers Of Digital Health",{"rendered":19,"protected":20},"\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Thanks to the advent of digital health, the future of medicine is truly exciting. With technological advancements that democratise access to care, better treatments are accessible to people than ever before. Breakthrough research and medical developments have eradicated deadly diseases and turned others into manageable conditions. But the very developments that propel healthcare to the 21st century bring their own share of hazards to the field.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">From the elimination of privacy through hacked medical devices to bioterrorism, there are signs of alarming trends that few take seriously. Nevertheless, we must generate discussion around these issues and help prepare every stakeholder to address them. To this end, we collected 10 of the most important hazards that technology brings about in the digital health age.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>1. Regulating adaptive AI algorithms\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">An \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Flocked-and-adaptive-algorithms-in-healthcare-differences-importance-and-regulatory-hurdles\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">adaptive artificial intelligence\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> (AI) is one that can adapt itself on the go based on new information it receives. In a clinical environment, it would, for example, be able to recommend blood tests more frequently in a population that has a high prevalence of diabetes. And if it sees that people in this population also have a tendency to develop cardiac issues, it will also recommend a cardiovascular evaluation.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F04\u002FAI-bias-768x432.png\" alt=\"AI bias algorithm artificial intelligence people patients race population\" class=\"wp-image-41809\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F04\u002FAI-bias-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F04\u002FAI-bias-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F04\u002FAI-bias-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F04\u002FAI-bias-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F04\u002FAI-bias.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">However, such algorithms rely on existing medical data which is \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fa-i-bias-in-healthcare\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">fraught with inherent biases\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">. By evolving on such data, adaptive AI will only reinforce those harmful biases such as discriminating based on one’s ethnicity and\u002For gender. To mitigate those risks, regulatory authorities must adopt new regulatory approaches to ensure that equitable adaptive AI algorithms are employed in healthcare facilities.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>2. Hacking medical devices remotely\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">New medical implants and devices are increasingly getting wireless connectivity features whether it’s to monitor metrics or run diagnostics. However, this also means that they are prone to hacks and these could prove fatal to patients.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Back in 2011, \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.theregister.com\u002F2011\u002F10\u002F27\u002Ffatal_insulin_pump_attack\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">a researcher\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> showed that it was possible to hack Medtronic insulin pumps to deliver fatal doses to diabetic patients. Others can \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.washingtonpost.com\u002Fnews\u002Fthe-switch\u002Fwp\u002F2013\u002F10\u002F21\u002Fyes-terrorists-could-have-hacked-dick-cheneys-heart\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">hijack pacemakers\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> over Bluetooth, \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002F2014\u002F04\u002Fhospital-equipment-vulnerable\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">compromise X-ray data\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, remotely \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002F2014\u002F06\u002Fhospital-networks-leaking-data\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">reconfigure CT scans\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> to alter radiation exposure, and the list \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002F2015\u002F11\u002Fmedical-devices-that-are-vulnerable-to-life-threatening-hacks\u002F#slide-1\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">goes on\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">. As more and more patients and healthcare institutions adopt such solutions, are regulators ensuring that private companies provide secure technologies? What can we do to protect wearable devices that are connected to our physiological system from remote hacks? Patients should demand safer options, while companies developing such technologies should make sure they are safe and users should be as vigilant as possible when using them.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>3. Privacy breaches by and on direct-to-consumer devices and services\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">The relationship between digital health adoption and privacy is a delicate one. In short, there is no digital health without compromising a part of our privacy. In order to provide individual and personalised results, tools such as health sensors and AI need access to our personal health data. But how secure are such data once the companies behind those tools have access to them? For instance, the popular direct-to-consumer DNA testing company 23andMe and pharma giant GSK \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.gsk.com\u002Fen-gb\u002Fmedia\u002Fpress-releases\u002Fgsk-and-23andme-sign-agreement-to-leverage-genetic-insights-for-the-development-of-novel-medicines\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">signed a $300 million deal\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> for drug development. This deal leveraged 23andMe’s substantial genetic resources, and it was made possible through its customers being oblivious that such a deal was in the pipeline. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Privacy and security issues pertaining to the digital health era are complex and multifactorial. These aren’t likely to get any simpler as more and more advanced technologies get integrated into the field. As such, every stakeholder in the healthcare landscape must contemplate the need for changes in the digital health era. To help you navigate these questions, we published \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fyour-privacy-in-the-digital-health-era-the-medical-futurists-guide\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">an e-book dedicated to the topic\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fyour-privacy-in-the-digital-health-era-the-medical-futurists-guide\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002F0811_privacy_2022_header-copy-small-768x432.png\" alt=\"Hackers, breaches and the value of health data TMF privacy ebook\" class=\"wp-image-47062\"\u002F\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002F0811_privacy_2022_header-copy-small-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002F0811_privacy_2022_header-copy-small-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002F0811_privacy_2022_header-copy-small-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002F0811_privacy_2022_header-copy-small-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F08\u002F0811_privacy_2022_header-copy-small.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>4. Ransomware attacks on hospitals\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">When talking about cyber threats in healthcare, the most common ones are \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcyberthreats-to-hospitals-2021\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">ransomware\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">. These involve hackers who infect IT systems with malware or digital viruses to encrypt crucial files. These paralyse whole infrastructures as that information is inaccessible until a ransom is paid, usually through cryptocurrency.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">One of the high-profile ones happened back in 2017 with the \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-nhs-ransomware-attack-data-privacy-in-digital-health-part-one\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">WannaCry attacks\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> on 61 NHS institutions. It led to the cancellation of operations and clinical appointments, loss of internet connection in hospitals and diverted patients from emergency departments even one week after the incident. This trend was perpetuated in subsequent years. Cybersecurity incidents involving patient data hit all-time highs \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedcitynews.com\u002F2022\u002F12\u002Fwhat-we-learned-from-cybersecurity-attacks-in-healthcare-in-2022\u002F\" target=\"_blank\">year after year\u003C\u002Fa>, and experts predict that 2023 likely won’t be any better. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Cyber threats in healthcare cannot be overlooked. The average patient should demand more security over their data, and the medical staff and management should take these demands seriously and familiarise themselves with cybercrime methods in order to better counter them.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>5. Technologies supporting self-diagnosis\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Physicians are worried because patients google their symptoms and treatments as they might wrongly associate the information they find \u003C\u002Fspan>with more serious conditions than what their caregiver diagnoses them with. Researchers as well are sounding the alarm about patients turning to hospitals due to smartwatch notifications about abnormal ECG readings, many of which are not clinically actionable. But soon, more and more patients will have access to more metrics at home whether they come from blood tests or genetic analyses; some of which come\u003Cspan style=\"font-weight: 400;\"> from unregulated companies offering inaccurate services.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F213_tmf-01.png\" alt=\"Can your smartwatch send you to the hospital?\" class=\"wp-image-30731\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F213_tmf-01.png 1920w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F213_tmf-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F213_tmf-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F213_tmf-01-1536x864.png 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">This, together with advanced chatbots offering medical advice can pave the way for even more serious cases of misinterpretation or self-medication. Will we be able to persuade patients not to further overload hospitals in this way? To avert this, proper guidance from medical professionals can equip patients to better interpret readings from their smart sensors, and authorities can regulate those services so that patients can get to know which companies to trust. This will, in turn, help avoid unnecessary hospital visits.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>6. Bioterrorism through digital health technologies\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">With the convenience and enhanced medical solutions brought about by the interconnected world of digital health technologies, \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdisruptive-technologies-bioterrorism\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">bioterrorism\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> also propels to new levels. We discussed how medical devices can be hacked remotely and that ransomware attacks \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.technologyreview.com\u002F2020\u002F11\u002F12\u002F1012015\u002Fransomware-did-not-kill-a-german-hospital-patient\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">hold the risk of being fatal\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> for some patients. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Now with \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.reuters.com\u002Ftechnology\u002Fwhat-does-elon-musks-brain-chip-company-neuralink-do-2022-12-05\u002F\" target=\"_blank\">Neuralink\u003C\u002Fa>, Elon Musk wants to \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Fjohnkoetsier\u002F2020\u002F08\u002F28\u002Felon-musk-wants-to-put-a-fitbit-in-your-skull-to-summon-your-tesla\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">embed a “Fitbit in your skull”,\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> while startup \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nanotics.com\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">NaNotics\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> is developing nanorobots that \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.worldhealth.net\u002Fnews\u002Fnanotech-suggests-have-found-way-combat-age-related-diseases\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">“mop up” molecules\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> that trigger diseases and ageing from the circulation. With \u003Ca href=\"https:\u002F\u002Ftechfundingnews.com\u002Fa-brain-implant-no-thicker-than-a-human-hair-neuralinks-competitor-raises-41m-funding\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">such advanced technologies on the horizon\u003C\u002Fa>, are we equipped to prevent bioterrorists from hacking into these devices to directly gain control over our health?\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>7. AI not tested in a real-life clinical setting\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">We regularly hear news headlines of an AI’s incredible prowess in the healthcare setting. But in many cases, these results are obtained from laboratories using selected datasets or ideal settings which aren’t totally reflective of actual clinical environments. Google learnt it the hard way.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"3200\" height=\"1800\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2.png\" alt=\"A.I. in medicine\" class=\"wp-image-23751\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2.png 3200w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-512x288.png 512w\" sizes=\"auto, (max-width: 3200px) 100vw, 3200px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Medical researchers from the company touted the ability of its AI tool to screen patients for diabetic retinopathy (DR) from images \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftechcrunch.com\u002F2020\u002F04\u002F27\u002Fgoogle-medical-researchers-humbled-when-ai-screening-tool-falls-short-in-real-life-testing\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">with 90% accuracy\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">. DR is a major cause of vision loss worldwide, and detecting the condition earlier can prevent complications. But Google’s AI \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftechcrunch.com\u002F2020\u002F04\u002F27\u002Fgoogle-medical-researchers-humbled-when-ai-screening-tool-falls-short-in-real-life-testing\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\"> didn’t fare so well in practice\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> as it did on paper. When used by nurses in a hospital in Thailand, they \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftechcrunch.com\u002F2020\u002F04\u002F27\u002Fgoogle-medical-researchers-humbled-when-ai-screening-tool-falls-short-in-real-life-testing\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">encountered several issues\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">. Sometimes they had internet connection troubles; at other times the quality of the scan didn’t meet a certain threshold, so the AI simply didn’t give a result. And on some occasions, nurses even had to spend extra time editing some of the images the algorithm didn’t want to analyse.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>8. Synthetic health data is not entirely accurate in simulating reality\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-clinical-trials-artificial-patients-synthetic-data-and-real-time-analysis\u002F\" target=\"_blank\">Synthetic data\u003C\u002Fa> is the use of AI to create datasets that mimic the real world. We use it for several reasons: 1. we don’t have enough real-world data or 2. don’t want to use real-world (sensitive) data. It is useful for feeding any algorithm that needs massive amounts of data to learn and either develop new prediction capabilities or recognise patterns. Synthetic data is widely used in a number of industries and segments, not just in medicine, but also in self-driving vehicles, security, robotics, fraud protection, insurance models, the military, and so on. \u003C\u002Fp>\n\n\n\n\u003Cp>However, any dataset we create will be imperfect to some extent. It will contain biases we are not aware of. It will not include important variables we either overlooked or are not aware of their importance. Even, in the best of cases, it will be like a snapshot of a given moment in a given situation. If we let machine learning and deep learning algorithms develop on these synthetic, imperfect datasets, chances are they will come to conclusions that are more or less false in the real world. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-768x432.png\" alt=\"in silico trials, synthetic data, artificial patient, TMF\" class=\"wp-image-24545\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Synthetic data is cheap and easy to come by, much easier and cheaper than collecting huge amounts of messy real-world data. What happens if decisions affecting large groups of people or whole societies will be made based on it? It is especially worrying as the world already faces challenges regarding “truth”. Introducing alternative truths based on ‘data’ to back decisions affecting societies – like healthcare funding, insurance models and so on – can have devastating consequences.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>9. Face recognition cameras in hospitals\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fyour-guide-to-facial-recognition-technology-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">Facial recognition technology\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> is a method that combines image analysis and deep neural networks to interpret patterns from facial characteristics. It can reveal a range of medical conditions. Its functional algorithm relies on existing databases and dives into comparing those features in order to output a result. Its application in healthcare shows promise from detecting rare genetic conditions to \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-in-aesthetics\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">extracting facial blood flow information\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">In the U.S., controversial company Clearview AI, which made a facial recognition database from social media pictures of unsuspecting individuals, \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fvalue-ethics-using-phone-data-monitor-covid-19\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">pitched its platform\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> to the government to track those infected with SARS-CoV-2. However, employing the technology from a company with dubious intentions poses new privacy risks. What will they do with the images collected? Will they be shared with law enforcement officials for surveillance, which can \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fsitn.hms.harvard.edu\u002Fflash\u002F2020\u002Fracial-discrimination-in-face-recognition-technology\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">further fuel racial discrimination\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">? \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>10. Health insurance: Dr Big Brother\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">With the availability and adoption of fitness trackers, direct-to-consumer genetic tests and health sensors, health insurance companies are able to assess applicants for insurance coverage based on their individual needs. For example, if one’s genetic test reveals a higher probability of acquiring ovarian cancer, the insurance company could subsequently subsidise relevant tests and offer them more regularly to that person. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">However, such availability of personal data is also a double-edged sword. It \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-health-insurance-preparing-for-dr-big-brother\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">could lead to a dystopian, Orwellian scenario\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">. Insurance companies could demand access to individuals’ wearables data in order to offer insurance; charge higher premiums if customers aren’t maintaining a healthy lifestyle; and even discriminate against applicants based on their genetic risk. The U.S. \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.genome.gov\u002Fabout-genomics\u002Fpolicy-issues\u002FGenetic-Discrimination\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">Genetic Information Nondiscrimination Act\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> was set up to address such biases, but what if new insurance policies amend it due to pressure from lobbies?\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"489\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F10\u002F041_crowdfounding_V2.png\" alt=\"future of health insurance\" class=\"wp-image-22082\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F10\u002F041_crowdfounding_V2.png 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F10\u002F041_crowdfounding_V2-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F10\u002F041_crowdfounding_V2-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F10\u002F041_crowdfounding_V2-512x288.png 512w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Chr class=\"wp-block-separator has-css-opacity\"\u002F>\n\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cspan style=\"font-weight: 400;\">There are of course more such hazards emerging from the digital health world which we will encounter more frequently in the near future. So let’s start discussing these issues at home, at the workplace and on public forums. This way we can prepare to exploit the advantages technology offers, while keeping the potential dangers at bay.\u003C\u002Fspan>\u003C\u002Fh4>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">\u003Cstrong>And we shall never forget: “\u003Cem>Primum non nocere\u003C\u002Fem>”!\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Ci>\u003Cspan style=\"font-weight: 400;\">Written by Dr. Bertalan Meskó & Dr. Pranavsingh Dhunnoo\u003C\u002Fspan>\u003C\u002Fi>\u003C\u002Fp>\n\n\n\n\u003Cdiv style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\">\u003C\u002Fdiv>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>There are many threats if we let medical innovation run wild. We collected 10 hazards that technology brings about in the digital health age.\u003C\u002Fp>\n",6,33749,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33,34,35,36,37,38],504,511,500,798,800,507,799,494,[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64],691,6743,224,692,6871,266,740,6873,1433,407,6875,1535,453,6877,6881,821,6883,845,6885,5267,6887,6243,517,6525,137,[66,67,68,69,70],947,948,949,950,952,[],[73,74,75,76,77,78,79,80,81,82,83,84,85,86],1833,1883,2993,3825,1571,4505,1617,4907,1631,5013,1681,1683,1693,1723,[88,14,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131],"post-13151","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-bioethics","category-biotechnology","category-digital-health-research","category-healthcare-policy","category-nanotechnology","category-security-privacy","category-telemedicine","tag-wannacry","tag-hospitals","tag-ecg","tag-ransomware","tag-ct-scans","tag-google-2","tag-elon-musk","tag-hacking","tag-privacy","tag-smartwatch","tag-cryptocurrency","tag-facial-recognition","tag-wearables-2","tag-diabetic-retinopathy","tag-clearview-ai","tag-a-i","tag-sars-cov-2","tag-medtronic","tag-orwellian","tag-researchers","tag-genetic-information-nondiscrimination-act","tag-nanotics","tag-gc1","tag-neuralink","tag-algorithm","project_category-company","project_category-developers","project_category-educators","project_category-medical-professionals","project_category-policy-makers",{"id":24,"alt_text":27,"caption":133,"description":27,"media_type":134,"media_details":135,"post":5,"source_url":163},"10 hazards ","image",{"width":136,"height":137,"file":138,"sizes":139,"image_meta":161},1920,1080,"2021\u002F03\u002Ftmf_article_253-01.png",{"medium":140,"large":146,"thumbnail":151,"medium_large":155,"1536x1536":156},{"file":141,"width":142,"height":143,"mime-type":144,"source_url":145},"tmf_article_253-01-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Ftmf_article_253-01-370x208.png",{"file":147,"width":148,"height":149,"mime-type":144,"source_url":150},"tmf_article_253-01-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Ftmf_article_253-01-768x432.png",{"file":152,"width":153,"height":153,"mime-type":144,"source_url":154},"tmf_article_253-01-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Ftmf_article_253-01-150x150.png",{"file":147,"width":148,"height":149,"mime-type":144,"source_url":150},{"file":157,"width":158,"height":159,"mime-type":144,"source_url":160},"tmf_article_253-01-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Ftmf_article_253-01-1536x864.png",{"aperture":162,"credit":27,"camera":27,"caption":27,"created_timestamp":162,"copyright":27,"focal_length":162,"iso":162,"shutter_speed":162,"title":27,"orientation":162},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Ftmf_article_253-01.png",{"related_posts":20,"related_posts_footer":165,"cta_type":169,"cta_color":27,"subtitle":27,"related_books":20},[166,167,168],31729,33587,33075,"subscribe",{"yoast_wpseo_title":171,"yoast_wpseo_metadesc":172,"yoast_wpseo_canonical":15},"TOP 10 Dangers Of Digital Health And Medical Innovation","There are many threats if we let medical innovation run wild. We collected 10 hazards that technology brings about in the digital health age.",{"self":174,"collection":180,"about":183,"author":186,"replies":189,"version-history":192,"predecessor-version":196,"wp:featuredmedia":200,"wp:attachment":203,"wp:term":206,"curies":222},[175],{"href":176,"targetHints":177},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F13151",{"allow":178},[179],"GET",[181],{"href":182},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[184],{"href":185},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[187],{"embeddable":26,"href":188},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[190],{"embeddable":26,"href":191},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=13151",[193],{"count":194,"href":195},51,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F13151\u002Frevisions",[197],{"id":198,"href":199},48941,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F13151\u002Frevisions\u002F48941",[201],{"embeddable":26,"href":202},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F33749",[204],{"href":205},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=13151",[207,210,213,216,219],{"taxonomy":208,"embeddable":26,"href":209},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=13151",{"taxonomy":211,"embeddable":26,"href":212},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=13151",{"taxonomy":214,"embeddable":26,"href":215},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=13151",{"taxonomy":217,"embeddable":26,"href":218},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=13151",{"taxonomy":220,"embeddable":26,"href":221},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=13151",[223],{"name":224,"href":225,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[227],{"id":168,"date":228,"date_gmt":229,"guid":230,"modified":232,"modified_gmt":233,"slug":234,"status":13,"type":14,"link":235,"title":236,"content":238,"excerpt":240,"author":242,"featured_media":243,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":244,"categories":245,"tags":252,"project_category":264,"contact_email_category":267,"yst_prominent_words":268,"class_list":274,"better_featured_image":295,"acf":315,"yoast_meta":322,"_links":325},"2021-03-04T10:00:00","2021-03-04T09:00:00",{"rendered":231},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=33075&_wpnonce=2e87afa58a&status=auto-draft&type=post","2021-03-07T16:01:48","2021-03-07T15:01:48","a-i-in-healthcare-insights-from-the-new-e-book","https:\u002F\u002Fmedicalfuturist.com\u002Fa-i-in-healthcare-insights-from-the-new-e-book",{"rendered":237},"A.I. In Healthcare, 2021: 8 Exciting Insights From The E-Book",{"rendered":239,"protected":20},"\n\u003Cp>Far from being the futuristic promise it once was, artificial intelligence (A.I.) is an unavoidable eventuality in virtually all sectors. Heeding to its potential, governments around the world are \u003Ca href=\"https:\u002F\u002Fwww.oxfordinsights.com\u002Fgovernment-ai-readiness-index-2020\" target=\"_blank\" rel=\"noreferrer noopener\">collaborating and taking steps\u003C\u002Fa> to ensure the responsible development and use of A.I. One such recent example is the \u003Ca href=\"https:\u002F\u002Fwww.gov.uk\u002Fgovernment\u002Fpublications\u002Fjoint-statement-from-founding-members-of-the-global-partnership-on-artificial-intelligence\u002Fjoint-statement-from-founding-members-of-the-global-partnership-on-artificial-intelligence\" target=\"_blank\" rel=\"noreferrer noopener\">Global Partnership on Artificial Intelligence\u003C\u002Fa> (GPAI) jointly created by 14 governments and the European Union in 2020.\u003C\u002Fp>\n\n\n\n\u003Cp>Healthcare will also need to brace itself for this disruptive force. Already, the number of life science studies published around A.I. rose from \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F?term=%22artificial+intelligence%22&filter=dates.2010%2F1%2F1-2010%2F12%2F31\" target=\"_blank\">1,600 in 2010\u003C\u002Fa> to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F?term=%22artificial+intelligence%22&filter=dates.2020%2F1%2F1-2020%2F12%2F31\" target=\"_blank\">7,300 in 2020\u003C\u002Fa>. The technology is also making its way out of research labs as highlighted in practical examples. In France alone, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.eetimes.eu\u002F18-new-ai-startups-in-france-in-2020-102-in-2019\u002F\" target=\"_blank\">1 in 5 A.I. startups\u003C\u002Fa> operate in the healthcare sector. In the pharmaceutical space, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fblog.benchsci.com\u002Fstartups-using-artificial-intelligence-in-drug-discovery\" target=\"_blank\">more than 230 startups\u003C\u002Fa> are using the technology in drug discovery. \u003C\u002Fp>\n\n\n\n\u003Cp>We have recently explored A.I.’s far-reaches into the healthcare world and shared our findings in our latest e-book, ‘\u003Ca href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\" target=\"_blank\" rel=\"noreferrer noopener\">A Guide To Artificial Intelligence In Healthcare\u003C\u002Fa>’. It is aimed at being a comprehensive guide to help readers get a firm grasp of the possibilities and limits of A.I. in healthcare. For a deep dive into the subject, we would recommend you getting a copy on LeanPub.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"ebook-block-spacer\">\u003C\u002Fdiv>\n\u003Cdiv class=\"ebook-block-backdrop backdrop-blur\" id=\"modal-backdrop-ebook-block_60414a24c4028\">\u003C\u002Fdiv>\n\u003Cinput style=\"display: none\" id=\"modal-ebook-block_60414a24c4028\"\n       value=\"{"featured":{"ID":24762,"post_author":"10","post_date":"2021-03-03 21:58:00","post_date_gmt":"2021-03-03 20:58:00","post_content":"<!-- wp:paragraph -->\\n<p>Can we stay human in the\\nage of A.I.? To go even further, can we grow in humanity, can we shape a\\nmore humane, more equitable and sustainable healthcare?<\\\u002Fp>\\n<!-- \\\u002Fwp:paragraph -->\\n\\n<!-- wp:paragraph -->\\n<p>Our e-book aims to prepare\\nhealthcare and medical professionals for the era of human-machine collaboration.\\nRead The Medical Futurist’s guide to understanding, anticipating and\\ncontrolling artificial intelligence.<\\\u002Fp>\\n<!-- \\\u002Fwp:paragraph -->","post_title":"A Guide to Artificial Intelligence in Healthcare","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"a-guide-to-artificial-intelligence-in-healthcare","to_ping":"","pinged":"","post_modified":"2024-05-29 23:37:45","post_modified_gmt":"2024-05-29 21:37:45","post_content_filtered":"","post_parent":0,"guid":"https:\\\u002F\\\u002Fapi.medicalfuturist.com\\\u002F?post_type=book&p=24762","menu_order":8,"post_type":"book","post_mime_type":"","comment_count":"0","filter":"raw","featured_image":["https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2021\\\u002F03\\\u002Fai-in-healthcare_2024-v6-1-1.png",1700,2200,false],"leanpub_url":"https:\\\u002F\\\u002Fleanpub.com\\\u002FArtificialIntelligenceinHealthcare","preview":[{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2021\\\u002F03\\\u002Fai-in-healthcare_2024-v6-1-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-3-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-4-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-5-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-6-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-7-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-8-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-9-1.png"},{"image":"https:\\\u002F\\\u002Fcdn.medicalfuturist.com\\\u002Fwp-content\\\u002Fuploads\\\u002F2019\\\u002F09\\\u002FArtificialIntelligenceinHealthcare-10-1.png"}],"buy_button_text":"Get it on Leanpub"},"others":[]}\"\u002F>\n\u003Cdiv id=\"ebook-block_60414a24c4028\" class=\"ebook\">\n    \u003Cdiv class=\"ebook-block h-100\">\n        \u003Cdiv class=\"container h-100\">\n            \u003Cdiv class=\"article-body h-100\">\n                \u003Cdiv class=\"row h-100 align-items-center\">\n                    \u003Cdiv class=\"col-md-5 pr-md-5 mb-4 mb-md-0\">\n                        \u003Cimg decoding=\"async\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002Fai-in-healthcare_2024-v6-1-1.png\" alt=\"\" class=\"img-fluid\">\n                    \u003C\u002Fdiv>\n                    \u003Cdiv class=\"col-md-7 pl-md-3\">\n                        \u003Ch3>A Guide to Artificial Intelligence in Healthcare\u003C\u002Fh3>\n                        \u003C!-- wp:paragraph -->\n\u003Cp>Can we stay human in the\nage of A.I.? To go even further, can we grow in humanity, can we shape a\nmore humane, more equitable and sustainable healthcare?\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Our e-book aims to prepare\nhealthcare and medical professionals for the era of human-machine collaboration.\nRead The Medical Futurist’s guide to understanding, anticipating and\ncontrolling artificial intelligence.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->                        \u003Cbutton data-target=\"modal-ebook-block_60414a24c4028\"\n                                class=\"ebook-block-button btn btn-lg font-weight-bold btn-tmf-blue mt-3\">\n                            Start Reading Now\n                        \u003C\u002Fbutton>\n                    \u003C\u002Fdiv>\n                \u003C\u002Fdiv>\n            \u003C\u002Fdiv>\n        \u003C\u002Fdiv>\n    \u003C\u002Fdiv>\n\u003C\u002Fdiv>\n\n\n\n\u003Cp>To have an idea regarding what you will be diving into, we will share 8 insights from A.I. in healthcare in this article. The e-book itself explores these topics and more at length.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>1. Federated learning can help deal with privacy issues \u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>As for developing competent, accurate A.I.-based tools, quality and quantity datasets are key to training the algorithms. But when it comes to applying those software programmes to healthcare, the fact that the data involved contains sensitive patient information can be problematic. Researchers \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F1712.05627\" target=\"_blank\">previously showed\u003C\u002Fa> that even anonymised health datasets can be used to re-identify patients. Others showed that, from computed tomography (CT) or magnetic resonance imaging (MRI) data, it’s \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC7091256\u002F\" target=\"_blank\">possible to reconstruct patients’ faces\u003C\u002Fa>. Such possibilities inevitably raise \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fyour-privacy-in-the-digital-health-era-the-medical-futurists-guide\u002F\" target=\"_blank\">privacy concerns\u003C\u002Fa> regarding whether we must reach a compromise to benefit from A.I.’s convenience in healthcare.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-768x432.jpg\" alt=\"Health Insurance\" class=\"wp-image-16535\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-444x250.jpg 444w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk.jpg 870w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Fhbr.org\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>However, another machine learning (ML) technique has recently \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41746-020-00323-1\" target=\"_blank\">picked up steam\u003C\u002Fa> in the healthcare field. Known as federated learning, it could efficiently address those privacy issues. This is because federated learning involves a decentralised training method of algorithms; thereby helping to address privacy issues.\u003C\u002Fp>\n\n\n\n\u003Cp>With this method, several participating institutions train ML algorithms locally, without sharing patients’ data outside of the hospital. Subsequently, they share only model characteristics to improve decision-making. Studies showed that such an approach \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41746-020-00323-1\" target=\"_blank\">performs comparably\u003C\u002Fa> to other ML models. But the advantage of this collaborative technique is that sensitive data does not leave the hospital.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>2. Cloud computing could supply A.I. services without the need for health IT upgrades\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In a recent article, we contemplated \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-national-digital-health-transformations-fail\" target=\"_blank\" rel=\"noreferrer noopener\">why national digital health strategies fail\u003C\u002Fa>. Among the reasons is a focus on health IT upgrades over digital health. With such efforts, bringing A.I.’s invaluable help to the doctor’s office will take more time and resources.\u003C\u002Fp>\n\n\n\n\u003Cp>However, with \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcloud-gaming-can-bring-artificial-intelligence-to-the-doctors-office\u002F\" target=\"_blank\">cloud computing\u003C\u002Fa>, the need to upgrade health IT can be bypassed altogether. By offloading all the processing power to the cloud, only a strong and reliable internet connection will be needed to implement A.I. tools on existing infrastructures.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>3. Regulation in better defining A.I.-based medical tech is lacking\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>With \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftech-giants-in-healthcare-new-e-book\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">tech giants\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftop-artificial-intelligence-companies-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">startups\u003C\u002Fa> alike stepping into the healthcare world with A.I. solutions, regulatory bodies and policymakers must step up their game in order to regulate the landscape for mass adoption. The U.S. Food & Drugs Administration (FDA) in particular has shown leadership regarding the adoption of A.I.-based medical technologies and even \u003Ca href=\"https:\u002F\u002Fwww.regulations.gov\u002Fdocument?D=FDA-2019-N-1185-0001\" target=\"_blank\" rel=\"noreferrer noopener\">issued a regulatory framework\u003C\u002Fa> for medical A.I. \u003C\u002Fp>\n\n\n\n\u003Cp>However, several companies submitting their FDA-approved devices or software only mention their tools as A.I.-based on their website, without further explanation of why they credit them as such. Interestingly, these companies omit the mention of their solutions as A. I.-based altogether in their official submission for approval to the FDA. Having access to a database that helps discern which medical tools use A. I. from those that plaster the term for marketing purposes will become increasingly needed in the age of healthcare A. I.  for practical and informational purposes.\u003C\u002Fp>\n\n\n\n\u003Cp>While the U.S.-based regulatory body did not come up with such a comprehensive database, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftmfinstitute.org\u002F\" target=\"_blank\">The Medical Futurist Institute\u003C\u002Fa> did; and we are keeping \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fnew-study-the-state-of-artificial-intelligence-based-fda-approved-medical-devices-and-algorithms-an-online-database\u002F\" target=\"_blank\">this database\u003C\u002Fa> up-to-date. While we did manage to get in touch with the FDA’s Digital Health team, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-in-2020\u002F\" target=\"_blank\">they mentioned\u003C\u002Fa> that they won’t take the database over. We hope that they will revise their decision and take the lead in better defining A.I.-based medical tech. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>4. A.I. can discover unusual medical associations\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>When an A.I. analyses medical data, it takes into account the same factors a clinician does; but it will also factor in subtle correlations from peripheral data points that clinicians would not even think of considering. With such data mining and predictive abilities, A. I. can \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-curious-case-of-a-i-discovering-unusual-associations-in-medicine\u002F\" target=\"_blank\">discover associations\u003C\u002Fa> that are otherwise invisible to the human eye and brain.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FAI-association-small-768x432.jpg\" alt=\"AI association\" class=\"wp-image-27237\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FAI-association-small-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FAI-association-small-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FAI-association-small-1536x864.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FAI-association-small.jpg 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>For example, Google researchers \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41551-018-0195-0\" target=\"_blank\" rel=\"noreferrer noopener\">trained deep-learning models\u003C\u002Fa> to identify signs indicating long-term cardiovascular risks from the data of over 280,000 patients. Subsequently, the A.I. \u003Ca href=\"https:\u002F\u002Fwww.washingtonpost.com\u002Fnews\u002Fthe-switch\u002Fwp\u002F2018\u002F02\u002F19\u002Fgoogle-used-artificial-intelligence-to-predict-heart-attacks-with-the-human-eye\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">taught itself\u003C\u002Fa> what to look for in retinal images alone after having gone through enough data to identify patterns found in the eyes of people at risk. Traditionally, doctors would need to manually look at the retina, do blood tests and consider other factors like age and BMI in order to assess those risks.\u003C\u002Fp>\n\n\n\n\u003Cp>Such deductions might surprise even the most trained physician, but cracking the reasoning as to how A. I. reached this conclusion will bring about \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-and-the-art-of-medicine\u002F\" target=\"_blank\">the real era of the art of medicine\u003C\u002Fa>. This process will rely on high levels of creativity, problem-solving and cognitive skills that the medical community possesses. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>5. Practical applications will help get physicians on board \u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Traditionally, medical professionals have an aversion to adopting tools that aim to disrupt their revered craft. Take for example the doctor’s iconic and inseparable stethoscope. When an early version of the device was introduced in the 19th century by French physician René Laennec, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fbridge-tradition-innovation-eko-core-digital-stethoscope-review\u002F\" target=\"_blank\">his contemporaries were doubtful\u003C\u002Fa> regarding it becoming common use. We now know how wrong they were! But it \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\u002F\" target=\"_blank\">took several decades\u003C\u002Fa> since Laennec’s introduction of an early stethoscope for a wide adoption of the tool. A.I. could follow a similar path and might even be termed as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\u002F\" target=\"_blank\">the stethoscope of the 21st century\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>To help get physicians on board to adopt A.I. as an integral tool to healthcare institutions, practical applications that address common issues they face might be the key. For example, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fnurse.org\u002Farticles\u002Falarm-fatigue-statistics-patient-safety\u002F\" target=\"_blank\">up to 99% alarms\u003C\u002Fa> from patient beds can be false ones. With as many as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC4206416\u002F\" target=\"_blank\">187 alarms per bed per day\u003C\u002Fa>, the alarm fatigue phenomenon is endemic to the medical profession. It refers to the point when caregivers become desensitised to alarm signs and can miss those that actually need medical attention. But A.I. \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-could-solve-alarm-fatigue-in-hospitals\u002F\" target=\"_blank\">can help reduce such notifications\u003C\u002Fa> received by the caregivers by up to 99.3%, and only hear those where their assistance is needed.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>6. Medical professionals must be able to differentiate simple algorithms from A.I\u003C\u002Fstrong>.\u003C\u002Fh2>\n\n\n\n\u003Cp>As the importance of A.I. in healthcare grows, so does the hype factor. Analysts already forecast the global market size for A.I. in healthcare to skyrocket \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.statista.com\u002Fstatistics\u002F826993\u002Fhealth-ai-market-value-worldwide\u002F\" target=\"_blank\">to $28 billion in 2025\u003C\u002Fa>. Profit-minded parties will want a share of this cake and claim that their product uses A.I. in order to attract inventions. In fact, many will only use a simple algorithm that only follows fixed rules without learning tasks as an actual A.I. does.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_238-01-768x432.png\" alt=\"\" class=\"wp-image-32491\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_238-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_238-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_238-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_238-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Being able to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fsimple-algorithms-vs-a-i\u002F\" target=\"_blank\">draw the line between actual A.I. and simple algorithms\u003C\u002Fa> will become a need for medical professionals. If one purchases a consumer or clinical product thinking that the device possesses A.I. capabilities but does not output results as expected, who is to blame? Is it the fault of the company for not clearly describing the underlying technology? Or is the customer at fault due to a failure of due diligence from their part? In order to better address the relevant legal, ethical and social implications in medicine, professionals must be able to draw that line.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>7. Chess’ fate awaits healthcare\u003C\u002Fstrong> \u003C\u002Fh2>\n\n\n\n\u003Cp>When IBM’s supercomputer \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\u002F\" target=\"_blank\">Deep Blue beat Garry Kasparov\u003C\u002Fa>, the world’s best chess player, in 1997, experts thought it would be the end of the game. Who would want to play against an unbeatable A.I., many echoed. Today, smart algorithms still reign supreme at the board game, with Google’s AlphaZero and Stockfish \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.theringer.com\u002Ftech\u002F2018\u002F11\u002F8\u002F18069092\u002Fchess-alphazero-alphago-go-stockfish-artificial-intelligence-future\" target=\"_blank\">competing for the #1 spot\u003C\u002Fa>. But contrary to beliefs, even more humans are enthusiastic about chess. An \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fen.chessbase.com\u002Fpost\u002Fche-redux-how-many-people-play-che-\" target=\"_blank\">early study estimated\u003C\u002Fa> the number of chess players to equal to that of regular Facebook members. In 2020, Netflix series \u003Cem>The Queen’s Gambit\u003C\u002Fem> \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nytimes.com\u002F2020\u002F11\u002F23\u002Farts\u002Ftelevision\u002Fchess-set-board-sales.html\" target=\"_blank\">reignited interest\u003C\u002Fa> in the game. \u003C\u002Fp>\n\n\n\n\u003Cp>The message is that humans have made peace with the fact that they cannot beat A.I. at the game and will always be far behind it. But instead of leaving chess altogether, they embraced the technology and even used it to \u003Ca href=\"https:\u002F\u002Fwww.huffpost.com\u002Fentry\u002Fcentaur-chess-shows-power_b_6383606#:~:text=The%20centaur%20story%20is%20an,all%20about%20amplifying%20human%20performance.\" target=\"_blank\" rel=\"noreferrer noopener\">get better at the game\u003C\u002Fa>. Chess players study A.I.’s innovative tactics for new insights so as to improve their own strategies. Similarly, chess coaches use the technology to train their students.\u003C\u002Fp>\n\n\n\n\u003Cp>A similar fate awaits A.I. in healthcare. It is one that merges humans’ creativity and empathy with A.I.’s predictive prowess. Rather than a competition, the technology should be seen as a cooperation that amplifies human performance.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>8. There are still many things we cannot expect from A.I. in healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>With A.I.-based technologies’ ability to discover unusual associations and even forecast public health crises, it might seem like the technology will replace every facet of healthcare. But this is far from being the case. In particular, the human factor is very much relevant and missing from A.I. That’s why there are as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F7-things-you-cant-expect-from-a-i-in-healthcare\u002F\" target=\"_blank\">many things we can’t expect\u003C\u002Fa> from such algorithms as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F7-things-you-can-expect-from-a-i-in-healthcare\u002F\" target=\"_blank\">we can expect from them\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>For example, while A.I. expertly handles repetitive tasks, it cannot deliver empathy and compassion that treating patients requires. This will be the task of human professionals. Additionally, human reasoning is absent from A.I. The latter can be \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-to-play-tricks-on-artificial-intelligence\u002F\" target=\"_blank\">duped with adversarial attacks\u003C\u002Fa> to misclassify diagnoses. But the same trick won’t work on humans, hence healthcare workers will very much be in demand. And these are only some of the many things that we cannot expect from A.I. in healthcare, as we \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F7-things-you-cant-expect-from-a-i-in-healthcare\u002F\" target=\"_blank\">previously discussed\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-1-768x432.png\" alt=\"\" class=\"wp-image-30807\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-1-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-1-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-1.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>This wraps up our list of insights which we hope proved useful to you as we step into the A.I. age of healthcare. To continue your journey forward, we invite you to get a copy of our latest e-book dedicated to the subject. We designed it as a guide to accompany you in the era of human-machine collaboration in healthcare. We also welcome your feedback after reading it through!\u003C\u002Fp>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Dr. Bertalan Mesko, PhD, the Director of The Medical Futurist Institute, launched The Medical Futurist to help individuals, companies, and governments understand how digital health technologies bring healthcare into the 21st century.\u003C\u002Fp>\n\u003Cp style=\"padding-left: 40px;\">\u003Cem>“Digital health technologies empower patients to become proactive in their life; empower medical professionals to do their job being supported by advanced technologies, and companies and policymakers to make better decisions about their future.” – Dr. Bertalan Meskó\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>To support this transformation, Dr. Meskó and The Medical Futurist team is working relentlessly analyzing the latest trends in digital health and bringing insights to the 800,000+ readers and followers of our publications, along these principles:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cspan style=\"background-color: #e71d3299;\">\u003Cstrong>The Medical Futurist is a place to learn, not a place for advertising\u003C\u002Fstrong>\u003C\u002Fspan>. The Medical Futurist team is working to bring you unlimited access to reliable, neutral information, that is free from the influence of vendors and companies.\u003C\u002Fli>\n\u003Cli>\u003Cspan style=\"background-color: #e71d3299;\">\u003Cstrong>Unlike many others, we keep 99% of The Medical Futurist content open for all readers\u003C\u002Fstrong>\u003C\u002Fspan>, regardless of where they live or what they can afford to pay. We do this because we believe in information equality, where everyone deserves to read accurate news and thoughtful analysis.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>For 2021, we commit to another year of high-impact reporting that helps people navigate the jungle of digital health and to see where it is heading. With no shareholders or billionaire owners, we set our own agenda and provide unbiased insights that are free from commercial and political influence.\u003C\u002Fp>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n",{"rendered":241,"protected":20},"\u003Cp>Far from being the futuristic promise it once was, artificial intelligence (A.I.) is an unavoidable eventuality in virtually all sectors. Heeding to its potential, governments […]\u003C\u002Fp>\n",16,33267,{"_acf_changed":20,"footnotes":27},[31,34,246,247,248,249,35,250,251,37],491,521,490,499,516,512,[253,55,254,255,256,257,64,258,259,260,48,261,262,263],6733,6763,6765,6767,6769,197,671,236,327,1555,358,[66,67,68,69,265,70,266],951,953,[],[79,269,84,270,86,271,74,272,273,76,77],1661,1715,1739,2405,3595,[275,14,89,90,91,92,93,94,97,276,277,278,279,98,280,281,100,282,117,283,284,285,286,126,287,288,289,110,290,291,292,127,128,129,130,293,131,294],"post-33075","category-empowered-patients","category-future-medicine","category-future-of-pharma","category-healthcare-design","category-medical-education","category-robotics","tag-cloud-computing","tag-federated-learning","tag-gpai","tag-kasparov","tag-queens-gambit","tag-database","tag-machine-learning","tag-fda-2","tag-mri","tag-chess","tag-physician","project_category-patients","project_category-researchers",{"id":243,"alt_text":27,"caption":27,"description":296,"media_type":134,"media_details":297,"post":168,"source_url":314},"Aspiring healthcare professionals had a hard time last year: some even had to repeat their studies due to the lack of training and practices. Could virtual classes help?",{"width":136,"height":137,"file":298,"sizes":299,"image_meta":313},"2021\u002F03\u002F0305_ai_ebook_2021_latvany.png",{"medium":300,"large":303,"thumbnail":306,"medium_large":309,"1536x1536":310},{"file":301,"width":142,"height":143,"mime-type":144,"source_url":302},"0305_ai_ebook_2021_latvany-370x208.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F0305_ai_ebook_2021_latvany-370x208.png",{"file":304,"width":148,"height":149,"mime-type":144,"source_url":305},"0305_ai_ebook_2021_latvany-768x432.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F0305_ai_ebook_2021_latvany-768x432.png",{"file":307,"width":153,"height":153,"mime-type":144,"source_url":308},"0305_ai_ebook_2021_latvany-150x150.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F0305_ai_ebook_2021_latvany-150x150.png",{"file":304,"width":148,"height":149,"mime-type":144,"source_url":305},{"file":311,"width":158,"height":159,"mime-type":144,"source_url":312},"0305_ai_ebook_2021_latvany-1536x864.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F0305_ai_ebook_2021_latvany-1536x864.png",{"aperture":162,"credit":27,"camera":27,"caption":27,"created_timestamp":162,"copyright":27,"focal_length":162,"iso":162,"shutter_speed":162,"title":27,"orientation":162},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F03\u002F0305_ai_ebook_2021_latvany.png",{"cta_type":169,"cta_color":27,"subtitle":27,"related_books":316,"related_posts_footer":319,"related_posts":20},[317,318],24762,24761,[320,166,321],24083,32197,{"yoast_wpseo_title":323,"yoast_wpseo_metadesc":324,"yoast_wpseo_canonical":235},"A.I. In Healthcare, 2021: 8 Exciting Insights From The E-Book - The Medical Futurist","Healthcare needs to brace itself for the disruptive force of artificial intelligence. These are 8 takeaways from our ebook entirely dedicated to the issue.",{"self":326,"collection":331,"about":333,"author":335,"replies":338,"version-history":341,"predecessor-version":345,"wp:featuredmedia":349,"wp:attachment":352,"wp:term":355,"curies":366},[327],{"href":328,"targetHints":329},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F33075",{"allow":330},[179],[332],{"href":182},[334],{"href":185},[336],{"embeddable":26,"href":337},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F16",[339],{"embeddable":26,"href":340},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=33075",[342],{"count":343,"href":344},15,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F33075\u002Frevisions",[346],{"id":347,"href":348},33275,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F33075\u002Frevisions\u002F33275",[350],{"embeddable":26,"href":351},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F33267",[353],{"href":354},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=33075",[356,358,360,362,364],{"taxonomy":208,"embeddable":26,"href":357},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=33075",{"taxonomy":211,"embeddable":26,"href":359},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=33075",{"taxonomy":214,"embeddable":26,"href":361},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=33075",{"taxonomy":217,"embeddable":26,"href":363},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=33075",{"taxonomy":220,"embeddable":26,"href":365},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=33075",[367],{"name":224,"href":225,"templated":26},[],1787036492764]