[{"data":1,"prerenderedAt":321},["ShallowReactive",2],{"slug-fda-approvals-for-algorithms-in-medicine":3},{"post":4,"relatedPosts":187,"relatedBooks":320},{"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":33,"project_category":49,"contact_email_category":50,"yst_prominent_words":51,"class_list":60,"better_featured_image":84,"acf":122,"yoast_meta":131,"_links":134},24083,"2019-06-06T15:34:52","2019-06-06T13:34:52",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=24083&_wpnonce=50064319a4&status=auto-draft&type=post","2023-02-27T14:31:34","2023-02-27T13:31:34","fda-approvals-for-algorithms-in-medicine","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Ffda-approvals-for-algorithms-in-medicine",{"rendered":17},"FDA Approvals For Smart Algorithms In Medicine In One Giant Infographic",{"rendered":19,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2019. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmagazine\">BROWSE OUR LATEST ARTICLES HERE\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd> \u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>Mental health algorithms\nmimicking empathy? A.I. outsmarting human doctors? Simple big data analytical\nsoftware presented with clever marketing tactics? It’s difficult to assess the\nactual state of play when it comes to artificial intelligence in healthcare. Moreover,\nthere’s no database that contains all the smart algorithms worth applying to\nmedical processes. That’s the reason why we decided to collect every artificial\nintelligence-based algorithm that already received FDA approval – meaning that\nthey are proven, reliable, and accurate solutions enabled by an official\nregulator for medical use. Let’s see the infographic in details!\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The\nfactors of algorithmic healing\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>When\nwe started to assess the universe of smart algorithms in healthcare, we took\ninto account temporal and spatial factors, accuracy and credibility, as well as\nmedical specialties where A.I. algorithms have a chance to make the care\nprocess better. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Concerning the timeline, we noticed an uptake in the appearance of new solutions in the last years, and you can see that also in the infographic\u003C\u002Fstrong>. In 2014, only AliveCor’s algorithm for the detection of atrial fibrillation was approved. Two years later, the FDA found further four solutions ready for clinical use, while in 2017, six new algorithms were approved by the US regulator. This exponential growth just accelerated last year, when the FDA endorsed 23 algorithms in medicine. \u003Cstrong>As the first approvals in 2019 also show, we do not expect the trend to slow down. On the contrary, we will most likely see dozens of new medical A.I. solutions on the market.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Looking at the spatial factors, while \u003Ca href=\"https:\u002F\u002Fwww.analyticsinsight.net\u002Ftop-6-artificial-intelligence-hubs-in-2018-an-analysis-for-their-localization\u002F\">the most important hubs for A.I. development\u003C\u002Fa> are the Silicon Valley, the Boston-New York area, Montréal, London, Bangalore, and Beijing, and the same can be applied in medicine and healthcare, \u003Cstrong>the most decisive factor for compiling FDA approved algorithms was that it is the only yardstick for credible and accurate medical software\u003C\u002Fstrong>. Although in Europe, the \u003Ca href=\"https:\u002F\u002Fwww.ema.europa.eu\u002Fen\">European Medicine Agency\u003C\u002Fa> has guidelines and statements about artificial intelligence, \u003Cstrong>the FDA is the only regulator with efficient instruments in its toolkit to access the credibility and accuracy of algorithms for medical purposes in detail\u003C\u002Fstrong>. \u003Cstrong>It also means that we had to stay on the U.S. market and consider the developments within the FDA’s jurisdiction.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"304\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-512x304.png\" alt=\"amazing technologies changing dermatology\" class=\"wp-image-16278\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-512x304.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-768x456.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-421x250.png 421w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions.png 870w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: Deep Learning Algorithm Classifying Lesions. Fig. 1b, Esteva, Kuprel et al., 2017\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What does an FDA approval mean?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cstrong>Regarding the meaning of the FDA\napproval itself, the listed algorithms embrace the entire scale of approvals \u003Ca href=\"https:\u002F\u002Fkenblockconsulting.com\u002Ffda-submissions\">starting from\n510(K) submission through de novo to premarket approval (PMA)\u003C\u002Fa>\u003C\u002Fstrong>\u003Cstrong>.\u003C\u002Fstrong> The first one\nrefers to a premarket submission to demonstrate that a device aiming for market\nlaunch but not requiring premarket approval is as safe and effective as other\nsimilar instruments with PMA. The latter actually means the FDA process of\nscientific and regulatory review to evaluate the safety and effectiveness of\nmedical devices supporting and\u002For sustaining human life and the most stringent\nof the device marketing applications. \u003C\u002Fp>\n\n\n\n\u003Cp>The de novo pathway for device marketing rights was added to address novel devices of low to moderate risk that do not have a valid predicate device – for example in the case of software solutions such as smart algorithms. Upon successful review of a de novo submission, FDA creates a classification for the instrument, a regulation if necessary, and identifies any special controls required for future premarket submissions of substantially equivalent devices. As the infographic would have been too complex if we had broken down the FDA approval into various subtypes, we left it as a single category for the time being.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-512x288.jpeg\" alt=\"algorithms in medicine\" class=\"wp-image-24085\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-512x288.jpeg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-370x208.jpeg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-768x432.jpeg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-1536x864.jpeg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine.jpeg 1600w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: www.statnews.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Which\nmedical specialties are the most algorithm-friendly?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>When looking at the infographic itself, the distribution of smart algorithms in the various medical specialties becomes visible. \u003Cstrong>Radiology and cardiology seem to be heavily populated by artificial intelligence-based solutions, there are already seven approved algorithms in cardiology, while 16 in radiology. However, geriatrics, orthopedics or pathology seem to be less prone to A.I. Certain medical specialties do not even appear in the list yet, such as pulmonology, dermatology, surgery, OB\u002FGyn or forensic medicine.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Although we should not draw definitive conclusions from only this infographic, as it constitutes a snapshot of the current state of play not revealing anything about the trends. For example, in the case of pathology, the number of FDA-approved algorithms might be low at the moment, artificial intelligence is a promising technology in the field – although it might need the coming years to catch up with the number of solutions in radiology or cardiology.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-512x288.jpg\" alt=\"digital health technologies\" class=\"wp-image-17943\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-444x250.jpg 444w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image.jpg 870w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>These two fields represent the peak areas of artificial intelligence research due to several reasons. First and foremost, computer vision is one of the fastest-growing fields in A.I. development, and medical imaging has both the data and the visuality that smart algorithms need to thrive. As a consequence,  \u003Ca href=\"https:\u002F\u002Fspectrum.ieee.org\u002Fthe-human-os\u002Frobotics\u002Fartificial-intelligence\u002Fcomputers-match-human-accuracy-in-screening-for-breast-cancer-risk\">researchers found that commercial software for automatically classifying breast density\u003C\u002Fa>, and thus detecting breast cancer, can perform on par with human radiologists. What’s more, in April 2018, \u003Ca href=\"https:\u002F\u002Fspectrum.ieee.org\u002Fthe-human-os\u002Fbiomedical\u002Fimaging\u002Fmedical-imaging-ai-software-vulnerable-to-covert-attacks\">the FDA approved the first AI system\u003C\u002Fa> that can be used for medical diagnosis without the input of a human clinician. \u003C\u002Fp>\n\n\n\n\u003Cp>Without\nfurther ado, let’s see a rundown of the algorithms.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The list of FDA-approved algorithms in medicine\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Check out our infographic here in detail and see the list below. Click on it for the high-resolution version.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09.png\" target=\"_blank\" rel=\"noreferrer noopener\"\u003C\u002Fa>\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"440\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09-512x440.png\" alt=\"\" class=\"wp-image-25260\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09-512x440.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09-768x660.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09.png 1257w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>AliveCor supports the \u003Ca href=\"https:\u002F\u002Fwww.alivecor.com\u002Fpress\u002Fpress_release\u002Falivecor-named-no-1-artificial-intelligence-company-in-fast-companys-2018-most-innovative-companies\u002F\">early detection of atrial fibrillation\u003C\u002Fa>, developed an ECG analytics platform – just as PhysiQ Heart Rhythm Module, Apple, and \u003Ca href=\"https:\u002F\u002Fventurebeat.com\u002F2017\u002F07\u002F05\u002Fcardiologs-ecg-analysis-platform-receives-fda-clearance\u002F\">Cardiologs\u003C\u002Fa> – and a six-lead smartphone ECG.\u003C\u002Fli>\n\n\n\n\u003Cli>QbCheck helps with the \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F23361114\">diagnosis and treatment of ADHD\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>InPen \u003Ca href=\"https:\u002F\u002Fdiatribe.org\u002Fnew-apps-and-devices-diabetesmine-d-data-exchange-and-innovation-summit\">tracks insulin dosage\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>One Drop Blood Glucose \u003Ca href=\"https:\u002F\u002Fonedrop.today\u002Fblogs\u002Fblog\u002Fdecision-support-one-drop-can-predict-the-future-with-automated-decision-support\">quantifies blood glucose levels\u003C\u002Fa> and automatically sends the data to the paired app.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.itnonline.com\u002Fcontent\u002Fphilips-integrates-reacts-tele-ultrasound-platform-lumify-portable-systems\">Lumify\u003C\u002Fa> offers ultrasound image diagnosis.\u003C\u002Fli>\n\n\n\n\u003Cli>Cantab Mobile acts as a tool for \u003Ca href=\"https:\u002F\u002Fwww.cambridgecognition.com\u002Fblog\u002Fentry\u002Fcantab-mobile-experience-of-use-of-a-digital-memory-assessment-tool-in-care\">memory problem assessment for the elderly\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>EnsoSleep powers a \u003Ca href=\"https:\u002F\u002Fxconomy.com\u002Fwisconsin\u002F2018\u002F03\u002F06\u002Fensodata-raises-1-5m-to-develop-a-i-powered-sleep-analysis-tools\u002F\">tool for recognizing sleep disorders\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>AmCAD-US \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F28071987\">evaluates thyroid nodules\u003C\u002Fa> and categorizes nodule characteristics.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"http:\u002F\u002Fen.lepumedical.com\u002F\">Lepu Medical\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.biotricity.com\u002Fbioflux\u002F\">BioFlux\u003C\u002Fa> detect arrhythmias.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fsubtlemedical.com\u002F\">Subtle Medical\u003C\u002Fa> offers a medical imaging platform.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fbaylabs.io\u002F\">Bay Labs\u003C\u002Fa> offers echocardiogram analysis.\u003C\u002Fli>\n\n\n\n\u003Cli>Viz.AI \u003Ca href=\"https:\u002F\u002Fwww.radiologybusiness.com\u002Fsponsored\u002F22221\u002Ftopics\u002Fartificial-intelligence\u002Fvizai-artificial-intelligence-stroke-software\">detects stroke on CT scans\u003C\u002Fa> and helps clinicians win the race against time.\u003C\u002Fli>\n\n\n\n\u003Cli>Arterys’ algorithm is able to \u003Ca href=\"https:\u002F\u002Fwww.medgadget.com\u002F2018\u002F02\u002Farterys-fda-clearance-liver-ai-lung-ai-lesion-spotting-software.html\">spot cancerous lesions in liver and lungs\u003C\u002Fa> on CT and MR images.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.empatica.com\u002F\">Empatica\u003C\u002Fa> helps detec epileptic seizures.\u003C\u002Fli>\n\n\n\n\u003Cli>Cognoa’s algorithm built into an app \u003Ca href=\"https:\u002F\u002Fwww.globenewswire.com\u002Fnews-release\u002F2019\u002F02\u002F06\u002F1711471\u002F0\u002Fen\u002FCognoa-Receives-FDA-Breakthrough-Designations-for-Autism-Diagnostic-and-Digital-Therapeutic-Devices.html\">helps diagnose autism in kids\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.medtronic-diabetes.co.uk\u002Fabout-diabetes\u002Fcontinuous-glucose-monitoring\">Medtronic\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.presspogo.com\u002F\">POGO\u003C\u002Fa> monitor and predict blood glucose changes.\u003C\u002Fli>\n\n\n\n\u003Cli>Idx autonomously detects diabetic retinopathy using retinal images.\u003C\u002Fli>\n\n\n\n\u003Cli>Icometrix helps \u003Ca href=\"https:\u002F\u002Ficometrix.com\u002Fnews\u002Ficometrix-expands-AI-portfolio-with-new-icobrain-reports-to-aid-the-diagnosis-of-dementia\">neurologists interpret brain MR images\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>Imagen \u003Ca href=\"https:\u002F\u002Fhealthitanalytics.com\u002Fnews\u002Ffda-clears-marketing-for-ai-algorithm-to-detect-wrist-fractures\">aids healthcare providers in identifying wrist fractures\u003C\u002Fa> with similar accuracy as human radiologists.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fneuronewsinternational.com\u002Fneuralbot-system-receives-fda-clearance\u002F\">NeuralBot\u003C\u002Fa> offers a solution for transcranial Doppler probe positioning.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.mindmotionweb.com\u002Fmindmotion-go\u002F\">MindMotion Go\u003C\u002Fa> advances its algorithm for motion capture for the elderly.\u003C\u002Fli>\n\n\n\n\u003Cli>Dreamed assists \u003Ca href=\"http:\u002F\u002Fwww.israelscienceinfo.com\u002Fen\u002Fmedecine\u002Fdreamed-diabetes-israel-recoit-le-marquage-ce-pour-sa-plateforme-de-gestion-du-diabete-de-type-1\u002F\">healthcare professionals in the management of Type 1 diabetes\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>Zebra Medical Vision detects, quantifies coronary artery calcification, and analyses chest X-rays.\u003C\u002Fli>\n\n\n\n\u003Cli>Aidoc is able to \u003Ca href=\"https:\u002F\u002Fwww.prnewswire.com\u002Fnews-releases\u002Fa-first-in-the-world-of-radiology-aidoc-receives-fda-clearance-to-enable-radiologists-to-triage-patients-using-ai-300693930.html\">flag brain bleeding in head CT images\u003C\u002Fa> and pulmonary embolism.\u003C\u002Fli>\n\n\n\n\u003Cli>iCAD classifies breast density and detects breast cancer as accurately as radiologists.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.itnonline.com\u002Fcontent\u002Fscreenpoint-medical-receives-fda-clearance-transpara-mammography-ai-solution\">ScreenPoint Medical\u003C\u002Fa> assists radiologists with the reading of screening mammograms.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.accessdata.fda.gov\u002Fcdrh_docs\u002Fpdf18\u002FK180647.pdf\">Briefcase\u003C\u002Fa> triages and diagnoses time-sensitive patients.\u003C\u002Fli>\n\n\n\n\u003Cli>RightEye Vision System \u003Ca href=\"https:\u002F\u002Fwww.medtechdive.com\u002Fnews\u002Frighteyes-eye-tracking-system-gets-fda-clearance\u002F539306\u002F\">tracks eye movements for identifying visual tracking impairment\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fmaxq.ai\u002F\">MaxQ\u003C\u002Fa> develops an acute intracranial hemorrhage triage algorithm.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.icadmed.com\u002Fprofoundai.html\">ProFound AI\u003C\u002Fa> detects and diagnoses suspicious lesions.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.resetforrecovery.com\u002F\">ReSET-O\u003C\u002Fa> offers an adjuvant treatment of substance abuse disorder.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fverily.com\u002Fprojects\u002Fsensors\u002Fstudy-watch\u002F\">Verily\u003C\u002Fa> developed an ECG feature on the \u003Ca href=\"https:\u002F\u002Fverily.com\u002Fprojects\u002Fsensors\u002Fstudy-watch\u002F\">Study Watch\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fpaige.ai\u002F\">Paige.AI\u003C\u002Fa> provides a clinical-grade algorithm in pathology.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"http:\u002F\u002Fclients3.weblink.com.au\u002Fpdf\u002FRHT\u002F02055462.pdf\">FerriSmart\u003C\u002Fa> created a machine learning solution for the quantification of liver iron concentration.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>If you find any inaccuracies or you think we missed one, please do let us know so we can update the infographic. Thank you!\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\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>Mental health algorithms mimicking empathy? A.I. outsmarting human doctors? Simple big data analytical software presented with clever marketing tactics? We decided to collect every artificial intelligence-based algorithm that already received FDA approval – meaning that they are proven, reliable, and accurate solutions enabled by an official regulator for medical use.\u003C\u002Fp>\n",6,24087,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],504,521,[34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],236,1257,246,1350,271,1353,275,372,411,134,1168,144,1203,166,1228,[],[],[52,53,54,55,56,57,58,59],1715,1723,1819,1883,2261,2689,4699,5067,[61,14,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83],"post-24083","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-future-medicine","tag-fda-2","tag-digital-solutions","tag-future","tag-smart-health","tag-health","tag-approval","tag-healthcare","tag-radiology","tag-software","tag-ai","tag-smart-algorithm","tag-artificial-intelligence","tag-smart","tag-cardiology","tag-artificial",{"id":24,"alt_text":85,"caption":27,"description":86,"media_type":87,"media_details":88,"post":5,"source_url":121},"algorithms in medicine","The first open access, online database of FDA-approved A.I.-based algorithms The Medical Futurist Institute (TMFI) pioneered the first open-access, online database of FDA-approved A.I.-based algorithms.","image",{"width":89,"height":90,"file":91,"sizes":92,"image_meta":119},1920,1080,"2019\u002F06\u002F0606_FDA_infographic_16x9.png",{"medium":93,"large":99,"thumbnail":104,"medium_large":108,"1536x1536":109,"2048x2048":114},{"file":94,"width":95,"height":96,"mime-type":97,"source_url":98},"0606_FDA_infographic_16x9-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-370x208.png",{"file":100,"width":101,"height":102,"mime-type":97,"source_url":103},"0606_FDA_infographic_16x9-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-768x432.png",{"file":105,"width":106,"height":106,"mime-type":97,"source_url":107},"0606_FDA_infographic_16x9-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-150x150.png",{"file":100,"width":101,"height":102,"mime-type":97,"source_url":103},{"file":110,"width":111,"height":112,"mime-type":97,"source_url":113},"0606_FDA_infographic_16x9-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-1536x864.png",{"file":115,"width":116,"height":117,"mime-type":97,"source_url":118},"0606_FDA_infographic_16x9-2048x1152.png","2048","1152","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-2048x1152.png",{"aperture":120,"credit":27,"camera":27,"caption":27,"created_timestamp":120,"copyright":27,"focal_length":120,"iso":120,"shutter_speed":120,"title":27,"orientation":120},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-scaled.png",{"related_posts":123,"related_posts_footer":127,"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20},[124,125,126],22987,13172,17629,[128,129,130],13650,14848,10785,{"yoast_wpseo_title":132,"yoast_wpseo_metadesc":133,"yoast_wpseo_canonical":15},"FDA Approvals For Smart Algorithms In Medicine In One Giant Infographic - The Medical Futurist","The Medical Futurist decided to collect all FDA-approved smart algorithms in medicine in one single infographic. Check it out!",{"self":135,"collection":141,"about":144,"author":147,"replies":150,"version-history":153,"predecessor-version":157,"wp:featuredmedia":161,"wp:attachment":164,"wp:term":167,"curies":183},[136],{"href":137,"targetHints":138},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24083",{"allow":139},[140],"GET",[142],{"href":143},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[145],{"href":146},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[148],{"embeddable":26,"href":149},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[151],{"embeddable":26,"href":152},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24083",[154],{"count":155,"href":156},17,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24083\u002Frevisions",[158],{"id":159,"href":160},49635,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24083\u002Frevisions\u002F49635",[162],{"embeddable":26,"href":163},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F24087",[165],{"href":166},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24083",[168,171,174,177,180],{"taxonomy":169,"embeddable":26,"href":170},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=24083",{"taxonomy":172,"embeddable":26,"href":173},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=24083",{"taxonomy":175,"embeddable":26,"href":176},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=24083",{"taxonomy":178,"embeddable":26,"href":179},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=24083",{"taxonomy":181,"embeddable":26,"href":182},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24083",[184],{"name":185,"href":186,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[188],{"id":130,"date":189,"date_gmt":190,"guid":191,"modified":193,"modified_gmt":194,"slug":195,"status":13,"type":14,"link":196,"title":197,"content":199,"excerpt":201,"author":23,"featured_media":203,"comment_status":204,"ping_status":204,"sticky":26,"template":27,"format":28,"meta":205,"categories":206,"tags":208,"project_category":218,"contact_email_category":219,"yst_prominent_words":220,"class_list":227,"better_featured_image":239,"acf":275,"yoast_meta":276,"_links":278},"2017-07-18T18:00:35","2017-07-18T16:00:35",{"rendered":192},"http:\u002F\u002Fscienceroll.com\u002F?p=10785","2022-05-10T14:28:26","2022-05-10T12:28:26","ibm-watson-is-the-stethoscope-of-the-21st-century","https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century",{"rendered":198},"Artificial Intelligence is the Stethoscope of the 21st Century",{"rendered":200,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2017. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmagazine\">BROWSE OUR LATEST ARTICLES HERE\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>\u003Cspan data-offset-key=\"aa0sd-0-0\">It took some time for the medical community to accept the stethoscope. \u003C\u002Fspan>\u003Cspan class=\"hardreadability\">\u003Cspan data-offset-key=\"aa0sd-1-0\">It will also take a while to recognize A.I. as a full-fledged health tool – despite its \u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan data-offset-key=\"aa0sd-2-0\">vast potential to revolutionize healthcare\u003C\u002Fspan>\u003Cspan data-offset-key=\"aa0sd-3-0\">. \u003C\u002Fspan>\u003Cspan class=\"hardreadability\">\u003Cspan data-offset-key=\"aa0sd-4-0\">Yet, it is so powerful that when it will finally take its rightful place in healthcare, it will displace the stethoscope as its symbol\u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan data-offset-key=\"aa0sd-5-0\">.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003C!--more-->\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Watson is better in Jeopardy than humans\u003C\u002Fh2>\n\n\n\n\u003Cp>In 2011, people witnessed an interesting competition on the television quiz show Jeopardy. It featured the two best players in the history of the show, Ken Jennings, who had the longest unbeaten run of 74 winning appearances, and Brad Rutter, earner of the biggest prize of $3.25 million. Their opponent was a huge computer with over 750 servers and a cooling system stored at a location so as not to disturb the players. The room–sized machine was made by IBM and named after the company’s founder, Thomas J. Watson. It did not smile or show emotion, but it kept on giving good answers. At the end, \u003Ca href=\"http:\u002F\u002Fwww.ibm.com\u002Fsmarterplanet\u002Fus\u002Fen\u002Fibmwatson\u002F\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Watson\u003C\u002Fa> won the game with $77,147 leaving Rutter and Jennings with $21,600 and $24,000 respectively. It left the audience in shock and awe at the same time.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Cognitive computers have been developing rapidly\u003C\u002Fstrong> over the last few years following \u003Ca href=\"http:\u002F\u002Fwww.wired.com\u002F2014\u002F10\u002Ffuture-of-artificial-intelligence\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">three technological breakthroughs\u003C\u002Fa>. One is cheap parallel computation due to a new kind of chip called a graphics processing unit (GPU). The second one is accessible big data due to massive databases, web cookies, wearable devices and decades of search results. The third one is building better algorithms due to the services of Netflix, Google, Amazon and the others.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"582\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy.jpg\" alt=\"A.I. stethoscope of the 21st century\" class=\"wp-image-16028\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy-768x514.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy-512x343.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy-374x250.jpg 374w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Do we have to fear cognitive computers taking our jobs?\u003C\u002Fh2>\n\n\n\n\u003Cp>Some started to contemplate about how A.I. would replace many jobs, overtake the human race in thinking. \u003Ca href=\"http:\u002F\u002Fwww.bbc.com\u002Fnews\u002Ftechnology-30290540\">Stephen Hawking even said that\u003C\u002Fa> the development of full artificial intelligence could spell the end of the human race. Elon Musk agreed.\u003C\u002Fp>\n\n\n\n\u003Cp>However, it is not inevitable that the use of A.I. leads to the loss of the human touch. In 1997, IBM’s supercomputer Deep Blue could beat Garry Kasparov, the reigning chess grand master that time. He said he could have performed better if he had access to the same databases as Deep Blue. So later, freestyle matches were organized in which supercomputers could play against human chess players assisted by AI (they were called human\u002FAI centaurs). Guess what! In 2014 in a Freestyle Battle, the AI chess players won 42 games, but centaurs won 53 games. The best potential pair is a human with technology. \u003Cstrong>This is the only balance that can lead to a positive future\u003C\u002Fstrong> with more and more disruptive innovations including ever-improving cognitive computing but an also ever-improving human intelligence and wisdom. This is the winning combination.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter\">\u003Ca class=\"img\" href=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov.jpg\"\u003C\u002Fa>\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"559\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov.jpg\" alt=\"Garry Kasparov & A.I.\" class=\"wp-image-12302\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov-768x493.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov-512x329.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov-389x250.jpg 389w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Fa>\u003Cfigcaption>Garry Kasparov ponders his chess moves during his third game with IBM’s Deep Blue Tuesday, Feb.13, 1996 at the Convention Center in Philadelphia. Wednesday’s game ended in a draw, but Kasparov ended up winning the final game and series 4-2 against the supercomputer. “Fighting this computer has changed the way I–and I imagine most others–will approach the game in the future,” he said after winning the final game Saturday night. (AP Photo\u002FGeorge Widman)\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">From Stethoscope to Cognitive Computers\u003C\u002Fh2>\n\n\n\n\u003Cp>People don’t like change. It is not any different in healthcare. It took plenty of time until the stethoscope, the symbol of healthcare was accepted by the medical community back in the 19th century. The instrument was \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FStethoscope#History\">invented by French physician René-Théophile-Hyacinthe Laënnec\u003C\u002Fa>, who published its description in 1819, but it took several decades until doctors actually started using it.\u003C\u002Fp>\n\n\n\n\u003Cp>I don’t expect any difference with A.I. After many of my talks, physician colleagues ask me whether artificial intelligence might replace them in their jobs and whether algorithms can eventually become better at making diagnoses. Both will happen but not the way they imagine it. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-will-redesign-healthcare\u002F\">Huge waves are coming to healthcare to transform the job of physicians\u003C\u002Fa> into something distinctly different than before. Although some of their tasks will be taken over by A.I., they will have more time for others, for example, deal with patients with real care and patience. Doctors will not have to struggle with being up-to-date in medical research, with administrative tasks, with consultation or making notes. They do not have to have a headache about how to choose the best therapy.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Cognitive computers will help physicians diagnose much better –  the same way stethoscope could change the medical profession\u003C\u002Fstrong> from the early 19th century on; when a wooden tube working like an ear trumpet could make doctors listen to cardiac and lung sounds at the point of care.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"560\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai.jpg\" alt=\"A.I. stethoscope\" class=\"wp-image-16030\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai-768x494.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai-512x330.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai-389x250.jpg 389w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>A.I. will open a new dimension for healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>What even the most acclaimed professors know cannot match cognitive computers. As the amount of information they accumulate grows exponentially, the assistance of computing solutions in medical decisions is imminent. A.I. will open new dimensions for doctors on the personal level as well as for hospitals and other medical institutions on the structural level.\u003C\u002Fp>\n\n\n\n\u003Cp>On the institutional level, the most obvious use of A.I. will be data management. Collecting it, storing it, normalizing it, tracing its lineage – it is the first step in revolutionizing the existing healthcare systems. Recently, the AI research branch of the search giant, Google, launched its Google Deepmind Health project, which is used to mine the data of medical records in order to provide better and faster health services.\u003C\u002Fp>\n\n\n\n\u003Cp>It could also analyze entire healthcare systems. For example, 97 percent of healthcare invoices in the Netherlands are digital containing data regarding the treatment, the doctor, and the hospital. These invoices could be easily retrieved. A local company, \u003Ca href=\"https:\u002F\u002Fwww.zorgprismapubliek.nl\u002F\">Zorgprisma Publiek\u003C\u002Fa> analyzes the invoices and uses IBM Watson in the cloud to mine the data. They can tell if a doctor, clinic or hospital makes mistakes repetitively in treating a certain type of condition in order to help them improve and avoid unnecessary hospitalizations of patients.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\u003Cp>[subscribe image=”false” type=”article-horizontal”]Subscribe to\u003C\u002Fp>\n\u003Ch2>\u003Cb>The Medical Futurist℠ Newsletter\u003C\u002Fb>\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>News shaping the future of healthcare\u003C\u002Fli>\n\u003Cli>Advice on taking charge of your health\u003C\u002Fli>\n\u003Cli>Reviews of the latest health technology\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>[\u002Fsubscribe]\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">A.I. will help doctors in previously unimaginable ways\u003C\u002Fh2>\n\n\n\n\u003Cp>Precision medicine, targeted treatments, and personalized solutions: these are the buzzwords in current healthcare – and not by chance. A.I. will help physicians work out the best therapies for their patients. IBM has already taken the first steps. Watson launched its special program \u003Ca href=\"http:\u002F\u002Fwww.ibm.com\u002Fwatson\u002Fwatson-oncology.html\">for oncologists\u003C\u002Fa> – and I interviewed one of the professors working with it – which is able to provide clinicians evidence-based treatment options.\u003C\u002Fp>\n\n\n\n\u003Cp>Moreover, A.I. has the potential to eliminate hideous tasks, such as administrative or repetitive work. For example, IBM’s \u003Ca href=\"http:\u002F\u002Fresearcher.watson.ibm.com\u002Fresearcher\u002Fview_group.php?id=4384\">Medical Sieve\u003C\u002Fa> will become the next generation “cognitive assistant” with analytical, reasoning capabilities and a wide range of clinical knowledge. The algorithm will be qualified to assist in clinical decision making in radiology and cardiology. A.I. assistants could also look up relevant medical information and keep doctors up-to-date in clinical research. IBM has the capacity to scan through millions of pages in seconds. Imagine the possibilities that lie ahead of us!\u003C\u002Fp>\n\n\n\n\u003Cp>Moreover, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F10-things-how-artificial-intelligence-could-make-me-a-better-doctor\u002F\">A.I. could eradicate waiting time\u003C\u002Fa> by optimizing both physicians’ and patients’ schedules. It could prioritize doctors’ emails so as the most urgent messages would reach them in time. It could also help patients sort out their simpler medical issues thus reducing the burden on doctors. If you look at all the advantages of A.I., your question will only be when it will finally reach our hospitals and why it is not there already.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"435\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure.jpg\" alt=\"A.I. stethoscope\" class=\"wp-image-16031\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure-768x384.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure-512x256.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure-458x229.jpg 458w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">A.I. will augment clinical practice\u003C\u002Fh2>\n\n\n\n\u003Cp>There are already certain places where A.I. is tested. \u003Ca href=\"https:\u002F\u002Fdeepmind.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Google DeepMind\u003C\u002Fa> already launched a partnership with the UK’s National Health Service to improve the process of delivering care with digital solutions. In June 2017,\u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2017\u002F06\u002F22\u002Fdeepmind-health-inks-another-5-year-nhs-app-deal-in-face-of-ongoing-controversy\u002F\"> DeepMind expanded its services – first of all, its data management app, Streams, to another UK hospital\u003C\u002Fa>. This expansion comes despite ongoing \u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2016\u002F05\u002F04\u002Fconcerns-raised-over-broad-scope-of-deepmind-nhs-health-data-sharing-deal\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">controversy over the company’s first NHS data-sharing agreement\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Google DeepMind’s number one competitor, IBM Watson is used at the Alder Hey Children’s Hospital \u003Ca href=\"http:\u002F\u002Fwww.stfc.ac.uk\u002Fnews\u002Falder-hey-children-s-hospital-set-to-become-uk-s-first-cognitive-hospital\u002F\">as part of a science and technology facilities council project being run by the Hartree Centre\u003C\u002Fa>. Dr. Iain Hennessey, Clinical Director of Innovation \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-is-using-ibm-watson-in-medicine-like\u002F\">told me\u003C\u002Fa>, t\u003Cem>he UK is spending £300 million pounds to develop its capabilities in this area and they are one of the first use cases.\u003C\u002Fem>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"489\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology.jpg\" alt=\"A.I. stethoscope\" class=\"wp-image-16033\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-445x250.jpg 445w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Cp>I also talked to Martijn G.H. Van Oijen, Ph.D. is an Associate Professor at the Academic Medical Center at the University of Amsterdam about Watson. As a clinical epidemiologist, he worked with IBM Watson for Oncology in preparation for a research proposal studying the role of Digital Decision Support tools. With several clinical colleagues of the department of Medical Oncology, they studied Watson for Oncology’s approach in approximately 400 surrogate patients with breast, lung or colorectal cancer. He believes that Watson for Oncology could result in a reduction of costs and efforts.\u003C\u002Fp>\n\n\n\n\u003Cp>They both agreed that AI cannot be a substitute for communication. \u003Cem>Right now, the technology is in its infancy, but improving all the time\u003C\u002Fem>, said Hennessey. My prediction is that it will gradually appear in more and more hospitals and get through the initial phase very quickly.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">What can we do to facilitate change?\u003C\u002Fh2>\n\n\n\n\u003Cdiv style=\"text-align: justify;\">\n\u003Cdiv style=\"text-align: justify;\">\n\u003Cp>Although A.I. is coming as fast as Daenerys Targaryen to Westeros, it will need the medical community’s understanding, initiative and drive for a better healthcare in order to work its best. If we introduced A.I. everywhere from Bolivia to Harvard, healthcare would not change a bit. There are many reasons for it and every stakeholder in healthcare should play its part to improve those elements.\u003C\u002Fp>\n\u003Cfigure>\u003Cimg loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-16032 size-full\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine.jpg\" alt=\"A.I. stethoscope\" width=\"1910\" height=\"1000\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine-768x402.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine-512x268.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine-458x240.jpg 458w\" sizes=\"auto, (max-width: 1910px) 100vw, 1910px\" \u002F>\u003C\u002Ffigure>\u003Cp>\u003C\u002Fp>\n\u003C\u002Fdiv>\n\u003C\u002Fdiv>\n\n\n\n\u003Cdiv style=\"text-align: justify;\">\n\u003Col>\n\u003Cli>\u003Cstrong>Medical professionals\u003C\u002Fstrong> should acquire basic knowledge about how AI works in a medical setting in order to understand how such solutions might help them in their everyday job. They also need to constantly think about where automation could let their jobs do better.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Decision makers\u003C\u002Fstrong> at healthcare institutions should do everything to be able to measure the success and the effectiveness of the system. This is the only way to assess the quality of AI’s help in medical decision making.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Companies\u003C\u002Fstrong> such as IBM should communicate even more towards the general public about the potential advantages and risks of using AI in medicine – and sort out data privacy issues such as \u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2017\u002F06\u002F22\u002Fdeepmind-health-inks-another-5-year-nhs-app-deal-in-face-of-ongoing-controversy\u002F\">the recent concerns with the NHS\u003C\u002Fa>!\u003C\u002Fli>\n\u003Cli>Non-English speaking countries should invest in \u003Cstrong>natural language processing\u003C\u002Fstrong> (NLP). If the patient information is not in English, A.I. needs to understand the content and context of the structured and unstructured information in that language.\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cp>Artificial intelligence will become the stethoscope of the 21st century, but it can only do its best when there is a wide cooperation between technology and the medical community. Let’s make it happen together!\u003C\u002Fp>\n\u003Cfigure>\u003Ca class=\"img\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhealthcare-speaker\u002F\">\u003Cimg loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-16040 size-full\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed.png\" alt=\"\" width=\"1703\" height=\"529\"\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed.png 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed-768x238.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed-512x159.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed-458x142.png 458w\" sizes=\"auto, (max-width: 1703px) 100vw, 1703px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\u003Cp>\u003C\u002Fp>\n\u003C\u002Fdiv>\n\n\n\n\u003Cp> \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\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",{"rendered":202,"protected":20},"\u003Cp>It took some time for the medical community to accept the stethoscope. It will also take a while to recognize A.I. as a full-fledged health tool – despite its vast potential to revolutionize healthcare. Yet, it is so powerful that when it will finally take its rightful place in healthcare, it will displace the stethoscope as its symbol.\u003C\u002Fp>\n",16038,"open",{"_acf_changed":20,"footnotes":27},[31,32,207],499,[209,36,210,211,40,212,213,214,215,216,43,217,45],179,517,272,282,304,313,355,419,425,[],[],[221,222,223,224,225,52,53,226,55],2699,3037,1593,1661,1683,1729,[228,14,62,63,64,65,66,67,68,229,230,71,231,232,75,233,234,235,236,237,78,238,80],"post-10785","category-healthcare-design","tag-cognitive-computer","tag-gc1","tag-health-20","tag-ibm-watson","tag-medical","tag-medicine","tag-personalized-medicine","tag-stethoscope","tag-technology-2",{"id":203,"alt_text":240,"caption":27,"description":27,"media_type":87,"media_details":241,"post":130,"source_url":274},"A.I. stethoscope",{"width":242,"height":243,"file":244,"sizes":245,"image_meta":272},870,579,"2014\u002F11\u002Fai-stethoscope.jpg",{"medium":246,"large":252,"thumbnail":257,"medium_large":261,"large_old_512x341":262,"medium_old_375x250":267},{"file":247,"width":248,"height":249,"mime-type":250,"source_url":251},"ai-stethoscope-370x208.jpg",370,208,"image\u002Fjpeg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-370x208.jpg",{"file":253,"width":254,"height":255,"mime-type":250,"source_url":256},"ai-stethoscope-768x511.jpg",768,511,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-768x511.jpg",{"file":258,"width":259,"height":259,"mime-type":250,"source_url":260},"ai-stethoscope-150x150.jpg",150,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-150x150.jpg",{"file":253,"width":254,"height":255,"mime-type":250,"source_url":256},{"file":263,"width":264,"height":265,"mime-type":250,"source_url":266},"ai-stethoscope-512x341.jpg",512,341,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-512x341.jpg",{"file":268,"width":269,"height":270,"mime-type":250,"source_url":271},"ai-stethoscope-375x250.jpg",375,250,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-375x250.jpg",{"aperture":120,"credit":27,"camera":27,"caption":27,"created_timestamp":120,"copyright":27,"focal_length":120,"iso":120,"shutter_speed":120,"title":27,"orientation":120,"keywords":273},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope.jpg",{"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20,"related_posts_footer":20,"related_posts":20},{"yoast_wpseo_title":277,"yoast_wpseo_metadesc":27,"yoast_wpseo_canonical":196},"Artificial Intelligence is the Stethoscope of the 21st Century - The Medical Futurist",{"self":279,"collection":284,"about":286,"author":288,"replies":290,"version-history":293,"predecessor-version":297,"wp:featuredmedia":301,"wp:attachment":304,"wp:term":307,"curies":318},[280],{"href":281,"targetHints":282},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785",{"allow":283},[140],[285],{"href":143},[287],{"href":146},[289],{"embeddable":26,"href":149},[291],{"embeddable":26,"href":292},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=10785",[294],{"count":295,"href":296},26,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785\u002Frevisions",[298],{"id":299,"href":300},44679,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785\u002Frevisions\u002F44679",[302],{"embeddable":26,"href":303},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F16038",[305],{"href":306},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=10785",[308,310,312,314,316],{"taxonomy":169,"embeddable":26,"href":309},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=10785",{"taxonomy":172,"embeddable":26,"href":311},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=10785",{"taxonomy":175,"embeddable":26,"href":313},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=10785",{"taxonomy":178,"embeddable":26,"href":315},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=10785",{"taxonomy":181,"embeddable":26,"href":317},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=10785",[319],{"name":185,"href":186,"templated":26},[],1785956573597]