[{"data":1,"prerenderedAt":397},["ShallowReactive",2],{"slug-6-potential-medical-use-cases-for-chatgpt":3},{"post":4,"relatedPosts":181,"relatedBooks":300},{"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":40,"contact_email_category":43,"yst_prominent_words":44,"class_list":48,"better_featured_image":65,"acf":108,"yoast_meta":125,"_links":128},48505,"2024-05-29T18:00:00","2024-05-29T16:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=48505&_wpnonce=f81d5480f2&status=auto-draft&type=post","2024-05-29T17:27:14","2024-05-29T15:27:14","6-potential-medical-use-cases-for-chatgpt","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002F6-potential-medical-use-cases-for-chatgpt",{"rendered":17},"6 Potential Medical Use Cases For ChatGPT",{"rendered":19,"protected":20},"\n\u003Cp>\u003Cem>This article was originally published in December 2022, and updated in May 2024 to include the latest significant developments from the ChatGPT – large language models scene. \u003C\u002Fem>\u003C\u002Fp>\n\n\n\n\u003Cp>Do you remember, how not so long ago the whole world was buzzing with news on \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fchat.openai.com\u002Fchat\" target=\"_blank\">ChatGPT\u003C\u002Fa>, and how everyone used it to write love poems, homework, summaries of articles, or Python codes? It was a huge hit when ChatGPT became accessible to the public, bringing the vague promise (and understanding) of AI suddenly within arm’s reach to all of us. Although it was barely over a year ago, now it seems to be in a distant past, and we are preoccupied with \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fhello-gpt-4o\u002F\" target=\"_blank\">ChatGPT’s latest iteration, GPT-4o\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>“O” stands for “Omni”, meaning that the model accepts multiple types of input (text, audio, image, and video), and can also generate its response in multiple formats. It is also fast, the response time is similar to average human response times in a conversation. \u003C\u002Fp>\n\n\n\n\u003Cp>Since the appearance of these easy-to-use AI chatbots (let’s not forget Google’s Gemini and \u003Ca href=\"http:\u002F\u002Fresearch.google\u002Fblog\u002Fadvancing-medical-ai-with-med-gemini\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Med-Gemini\u003C\u002Fa> just to mention another contender), there has been a lot of discussion regarding their potential use in medicine, so let’s see what you can expect from them and what you should not use them for – at least in their current form.\u003C\u002Fp>\n\n\n\n\u003Cp>Unlike the text-to-image tool Midjourney, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhere-is-how-you-get-friendly-with-a-i-before-it-gets-to-the-office\u002F\" target=\"_blank\">which we introduced\u003C\u002Fa> earlier, and which is a GAN (\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-adversarial-networks-how-can-ai-learn-so-much-while-its-iq-remains-zero\" target=\"_blank\">generative adversarial network, explained here\u003C\u002Fa>) algorithm, ChatGPT is a different kind of algorithm – although there is a lot of misinformation about it if you google the topic. So for the seasoned readers: ChatGPT is a transformer, and the acronym GPT stands for Generative Pretrained Transformer. We wrote about an \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-ai-explained-its-impact-and-future-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">overview of generative AI here\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>Anyways, considered the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fgithub.com\u002Fvectara\u002Fhallucination-leaderboard\u002Ftree\u002Fmain?tab=readme-ov-file\" target=\"_blank\">best-in-class at the moment\u003C\u002Fa> (as of hallucination-rates leaderboard data from 14th May 2024), it can be used for a wide range of things, but it has some limitations. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1500\" height=\"844\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Fimage-1.png\" alt=\"\" class=\"wp-image-56315\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Fimage-1.png 1500w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Fimage-1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Fimage-1-768x432.png 768w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Starting with the no-gos\u003C\u002Fh3>\n\n\n\n\u003Cp>In general, it is important to note that I would certainly not use it in any way that could potentially harm patients, like finding a diagnosis, where the slightest error could have dire consequences. \u003C\u002Fp>\n\n\n\n\u003Cp>Like the algorithms we used \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdanger-alert-ai-is-writing-content-but-its-lying-let-us-show-you-how\" target=\"_blank\">in this article about AI text generators\u003C\u002Fa>, most large language models have similar flaws: they can create convincing-looking answers that are not factually correct. Most of these models are improving fast, and more and more often come up with warnings if you ask something too scientific\u002Ftoo specific – but you always need to double-check the results without believing LLMs. \u003C\u002Fp>\n\n\n\n\u003Cp>When I first started playing with the first edition of ChatGP, it was prone to come up with fake stuff that looked convincing, just as it came up with three non-existing articles proving the benefits of \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftwitter.com\u002Fstuartblitz\u002Fstatus\u002F1602834224284897282?s=56&t=zAN-rP5Zz82qV1Yk67G4yw\" target=\"_blank\">echocardiograms for Systematic Sclerosis\u003C\u002Fa>. It looked legit, but if you try to find the referenced articles in the scientific literature, you will find none, as many commenters pointed out. They are just things the algorithm fabricated. \u003C\u002Fp>\n\n\n\n\u003Cp>If you, as a doctor, send this letter to the insurance company, and the diagnostic test gets rejected because it cites non-existing literature, you just lose valuable time for your patient. Various models have different “hallucination rates”, some are more easily convinced to go with your whatever-guidance than others. (like “Find studies that explain to the insurance company why my knee bursitis patient would have a better recovery if they had a brain CT.”)\u003C\u002Fp>\n\n\n\n\u003Cp>But to be fair with ChatGPT (and most major models) in 2024, they do much better these days. I asked GPT-4o, Gemini and Claude to write about the benefits of organic food over chemotherapy in breast cancer treatment, and all three told me that there seems to be no literature proving the benefits of organic food in cancer treatments, that chemotherapy is a well-established treatment and that I should consult my oncologist. This is a HUGE improvement! \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\u002F2018\u002F07\u002Fandroid-robots-768x432.png\" alt=\"\" class=\"wp-image-21207\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F07\u002Fandroid-robots-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F07\u002Fandroid-robots-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F07\u002Fandroid-robots-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F07\u002Fandroid-robots.png 870w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Let’s see the use cases now\u003C\u002Fh2>\n\n\n\n\u003Cp>Now that we see the limitations, let’s take a look at the use cases where ChatGPT-like large language models can actually serve healthcare professionals.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>1) Summarizing medical records based on patients’ family history, symptoms and lab results, among others\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>The algorithm does well in interpreting English-language texts, and it does a decent job in providing summaries based on existing medical records. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>2) Summarizing and analyzing research papers: list keywords in an abstract or summarize a long and detailed research paper for physicians not working in that field of interest\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>It can list keywords in an abstract and summarize research papers for physicians. Given access to the full text of an article, ChatGPT can grasp the main points accurately. It can often follow URLs and summarize texts directly from provided links, although we have to note that Gemini does it more reliably – ChatGPT quite often says that it does not have access to the full content on the link.  \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>3) Writing general texts, like emails, a book blurb or anything that saves time and you can further customize it for your needs and personal style\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Without a doubt, it does great in such tasks. It writes excellent emails on all kinds of topics (requesting a refund for an item that has been delivered broken, inviting neighbors over to dinner, or suggesting pool resources to buy a nice Christmas gift to the main teacher of the kids). Just like the above, it will do great in general communication with patients.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>4) Answer broad questions\u003C\u002Fstrong> \u003C\u002Fp>\n\n\n\n\u003Cp>ChatGPT does well in answering broad general questions in many areas, from ‘What is diabetes?’ through ‘How to ensure financial safety at an old age?’ to ‘Why are patients not involved in healthcare?’. However, the answers you receive will be very general. You will get a correct summary of the basics, but will most likely not succeed in learning about the specifics. \u003C\u002Fp>\n\n\n\n\u003Cp>The algorithm explains well what an artificial pancreas is and how it works, but can’t advise you on specific technical details. Similarly, it gives a great general summary of the goal of my favorite board game, but it can’t answer a simple yes\u002Fno question regarding a specific – very obvious – game situation. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>5) Work as a chatbot to answer FAQ-like questions for the doctors’ office, or handle appointments\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>ChatGPT could be also very handy as your chatbot. With 4o, it can handle more complex interactions. Or as the algorithm explained it: \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"347\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Fimage-768x347.png\" alt=\"\" class=\"wp-image-56313\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Fimage-768x347.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Fimage.png 1287w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>It could be also used to schedule appointments, manage bookings and carry out similar tasks for a surgery or a hospital unit. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>6) Have fun with it to build a relationship with AI\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Similarly to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhere-is-how-you-get-friendly-with-a-i-before-it-gets-to-the-office\u002F\" target=\"_blank\">Midjourney\u003C\u002Fa>, ChatGPT is also a great tool to get used to working with AI, build a relationship with it, and understand its capabilities and limitations. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Looking forward: longer-term use cases are vast\u003C\u002Fh2>\n\n\n\n\u003Cp>As said before: ChatGPT currently does not have a version that was specifically trained (and regulated and approved) for medical purposes, neither does Med-Gemini or Med-PaLM2. But eventually, we will have such models, and these will be able to assist in more closely healing-related ways. \u003C\u002Fp>\n\n\n\n\u003Cp>For example: in \u003Cstrong>medical education and training\u003C\u002Fstrong>, LLMs can enhance the learning process by providing interactive case simulations, personalized study materials, and real-time feedback. This approach fosters a more engaging and effective learning experience for medical students, better preparing them for clinical practice.\u003C\u002Fp>\n\n\n\n\u003Cp>For \u003Cstrong>clinical decision support,\u003C\u002Fstrong> they can assist healthcare professionals by analyzing patient data and medical literature to suggest diagnoses and treatment options. The ability to quickly process vast amounts of information can help providers make informed decisions, particularly in complex cases, potentially leading to improved patient care.\u003C\u002Fp>\n\n\n\n\u003Cp>In \u003Cstrong>mental health support\u003C\u002Fstrong>, AI chatbots can offer a safe space for individuals to engage in therapeutic conversations, explore their emotions, and develop coping mechanisms. They can also guide individuals through CBT exercises and provide personalized relaxation techniques, making mental health support more accessible and engaging. In fact, we \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.patreon.com\u002Fposts\u002F103405845\" target=\"_blank\">already see examples\u003C\u002Fa> of that. \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\u002F10\u002Ftmf_skinny-Berci-digital-health-devices-768x432.png\" alt=\"digital health devices recovery illness tmf\" class=\"wp-image-47489\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F10\u002Ftmf_skinny-Berci-digital-health-devices-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F10\u002Ftmf_skinny-Berci-digital-health-devices-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F10\u002Ftmf_skinny-Berci-digital-health-devices.png 1280w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cstrong>Public health communication\u003C\u002Fstrong> could also benefit from ChatGPT’s ability to draft clear and concise messages, suitable for diverse audiences. It can also answer health-related questions in an accessible way and create educational materials for specific populations, to help raising health literacy and informed decision-making.\u003C\u002Fp>\n\n\n\n\u003Cp>Artificial intelligence algorithms will arrive in healthcare and all medical specialties, there is no question about it. It will fulfill several roles, and its involvement will vary between different medical fields. But no field will be left untouched, that is certain. Getting used to it before you need to work with it will make this transition easier and more fun. \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Why is everyone talking about ChatGPT and what can this algorithm do for healthcare workers? We found six potential use cases in medicine.\u003C\u002Fp>\n",6,48507,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],7079,504,[34,35,36,37,38,39],7725,168,7727,7687,7691,134,[41,42],950,953,[],[45,46,47],1709,1723,1795,[49,14,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64],"post-48505","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","tag-chatgpt","tag-chatbot","tag-conversationlal_ai","tag-ai-text-generator","tag-ai-in-heaalthcare","tag-ai","project_category-medical-professionals","project_category-researchers",{"id":24,"alt_text":66,"caption":27,"description":27,"media_type":67,"media_details":68,"post":5,"source_url":107},"ChatGPT AI algorithm TMF","image",{"width":69,"height":70,"file":71,"filesize":72,"sizes":73,"image_meta":105},1920,1080,"2022\u002F12\u002Ftmf_article_347-01.png",146918,{"medium":74,"large":81,"thumbnail":87,"medium_large":92,"1536x1536":93,"2048x2048":99},{"file":75,"width":76,"height":77,"mime-type":78,"filesize":79,"source_url":80},"tmf_article_347-01-370x208.png","370","208","image\u002Fpng","35584","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-370x208.png",{"file":82,"width":83,"height":84,"mime-type":78,"filesize":85,"source_url":86},"tmf_article_347-01-768x432.png","768","432","103734","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-768x432.png",{"file":88,"width":89,"height":89,"mime-type":78,"filesize":90,"source_url":91},"tmf_article_347-01-150x150.png","150","17502","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-150x150.png",{"file":82,"width":83,"height":84,"mime-type":78,"filesize":85,"source_url":86},{"file":94,"width":95,"height":96,"mime-type":78,"filesize":97,"source_url":98},"tmf_article_347-01-1536x864.png","1536","864","317619","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-1536x864.png",{"file":100,"width":101,"height":102,"mime-type":78,"filesize":103,"source_url":104},"tmf_article_347-01-2048x1152.png","2048","1152","519750","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01-2048x1152.png",{"aperture":106,"credit":27,"camera":27,"caption":27,"created_timestamp":106,"copyright":27,"focal_length":106,"iso":106,"shutter_speed":106,"title":27,"orientation":106},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002Ftmf_article_347-01.png",{"cta_type":109,"cta_color":27,"related_books":110,"related_posts_footer":114,"related_posts":20,"subtitle":27,"key_takeaways":118},"subscribe",[111,112,113],24762,47427,24759,[115,116,117],47785,47495,47975,[119,121,123],{"title":120},"\u003Cp>ChatGPT and similar algorithms are already useful for a variety of tasks in a medical practice, and we provide several examples of how they can be applied.\u003C\u002Fp>\n",{"title":122},"\u003Cp>However, since they are not specifically trained or approved for medical use, certain tasks should not be entrusted to them due to potential life-threatening errors.\u003C\u002Fp>\n",{"title":124},"\u003Cp>In the long term, there will be specialized medical versions of GPT (or similar models) that will assist with even more tasks, and we present examples of these future applications as well.\u003C\u002Fp>\n",{"yoast_wpseo_title":126,"yoast_wpseo_metadesc":127,"yoast_wpseo_canonical":15},"6 Potential Medical Use Cases For ChatGPT - The Medical Futurist","Why is everyone talking about ChatGPT and what can this algorithm do for healthcare workers? We found six potential use cases in medicine.",{"self":129,"collection":135,"about":138,"author":141,"replies":144,"version-history":147,"predecessor-version":151,"wp:featuredmedia":155,"wp:attachment":158,"wp:term":161,"curies":177},[130],{"href":131,"targetHints":132},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F48505",{"allow":133},[134],"GET",[136],{"href":137},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[139],{"href":140},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[142],{"embeddable":26,"href":143},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[145],{"embeddable":26,"href":146},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=48505",[148],{"count":149,"href":150},11,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F48505\u002Frevisions",[152],{"id":153,"href":154},56327,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F48505\u002Frevisions\u002F56327",[156],{"embeddable":26,"href":157},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F48507",[159],{"href":160},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=48505",[162,165,168,171,174],{"taxonomy":163,"embeddable":26,"href":164},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=48505",{"taxonomy":166,"embeddable":26,"href":167},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=48505",{"taxonomy":169,"embeddable":26,"href":170},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=48505",{"taxonomy":172,"embeddable":26,"href":173},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=48505",{"taxonomy":175,"embeddable":26,"href":176},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=48505",[178],{"name":179,"href":180,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[182],{"id":117,"date":183,"date_gmt":184,"guid":185,"modified":187,"modified_gmt":188,"slug":189,"status":13,"type":14,"link":190,"title":191,"content":193,"excerpt":195,"author":23,"featured_media":197,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":198,"categories":199,"tags":200,"project_category":203,"contact_email_category":205,"yst_prominent_words":206,"class_list":213,"better_featured_image":218,"acf":248,"yoast_meta":255,"_links":258},"2022-11-15T10:00:00","2022-11-15T09:00:00",{"rendered":186},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=47975&_wpnonce=9edddd52c8&status=auto-draft&type=post","2022-11-15T11:32:53","2022-11-15T10:32:53","danger-alert-ai-is-writing-content-but-its-lying-let-us-show-you-how","https:\u002F\u002Fmedicalfuturist.com\u002Fdanger-alert-ai-is-writing-content-but-its-lying-let-us-show-you-how",{"rendered":192},"Danger Alert: AI Is Writing Content, But It’s Lying – Let Us Show You How",{"rendered":194,"protected":20},"\n\u003Cp>There is a growing number of AI text generators around the web, offering more or less the same. \u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\u003Cli>You give a brief of your planned content and maybe some keywords\u003C\u002Fli>\u003Cli>Set the parameters, like the language, the tone of the text and the creativity level\u003C\u002Fli>\u003Cli>Hit enter\u003C\u002Fli>\u003Cli>Voila, you get your blog post\u002Farticle\u002Fmarketing copy\u002Fwhatever\u003C\u002Fli>\u003C\u002Fol>\n\n\n\n\u003Cp>Isn’t it amazing? Writing a good text takes effort, so outsourcing it to AI could save us a ton of time in researching and crafting content. \u003C\u002Fp>\n\n\n\n\u003Cp>Before you quickly lay off all your writers, let me show through a few examples of why trusting A.I. with content is dangerous as of now. TLDR spoiler: it is lying. All right, confabulating. Using alternative facts. \u003C\u002Fp>\n\n\n\n\u003Cp>We tested the most popular AI text generator tools, choosing a medical topic, where it is clear how these fabricated “facts” can be extremely dangerous. The topic pick was a recent breakthrough, where the number of publications is yet limited, so it is relatively easy to fact-check the AI-generated outputs. \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\u002F2020\u002F10\u002F216_tmf-01-768x432.png\" alt=\"AI text generators might end up in healthcare\" class=\"wp-image-30867\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F216_tmf-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Is this a real doctor or an algorithm?  \u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>We tried the five AI text generators that were most often recommended on professional-looking sites. Where there was an option, we both tested the “factual’ and the “optimal” creativity setting. The results haven’t really differed. \u003C\u002Fp>\n\n\n\n\u003Cp>We tested: \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>Simplified\u003C\u002Fli>\u003Cli>Rytr\u003C\u002Fli>\u003Cli>Smart Copy\u003C\u002Fli>\u003Cli>Copy.ai\u003C\u002Fli>\u003Cli>Contentbot.ai\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cp>As the outputs of the five solutions highlighted very similar flaws (and dangers), let’s stick with three examples, for the sake of keeping the article within a reasonable length. Trust me, the rest didn’t do any better.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">The topic: \u003C\u002Fh3>\n\n\n\n\u003Cp>We went with this \u003Ca href=\"https:\u002F\u002Fwww.bbc.com\u002Fnews\u002Fhealth-63513330\" target=\"_blank\" rel=\"noreferrer noopener\">relatively recent announcement\u003C\u002Fa>: a few days ago UK researchers transplanted lab-grown blood into human patients in a world-first trial. So the brief was this: “Lab-grown blood transplanted into humans”.\u003C\u002Fp>\n\n\n\n\u003Cp>The main facts of the original article (and the breakthrough) are this:\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\u003Cli>A UK research team transplanted lab-grown blood in very small amounts (5-10ml) into two healthy patients\u003C\u002Fli>\u003Cli>The trial seems to have gone well\u003C\u002Fli>\u003Cli>The team used stem cells to grow them into red blood cells\u003C\u002Fli>\u003C\u002Fol>\n\n\n\n\u003Cp>And let’s see what the content generator algorithms came up with. In all the generated texts we will \u003Cstrong>bold the sections \u003C\u002Fstrong>that have nothing to do with the actual facts. These are things AI just produced. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Simplified – AI text generator:\u003C\u002Fh3>\n\n\n\n\u003Cp>“In a world first, laboratory-grown blood cells have been transplanted into a human patient. The groundbreaking procedure, which was conducted at Addenbrooke’s Hospital in Cambridge, could help to pave the way for new treatments for blood disorders.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>The patient, who\u003C\u002Fstrong> has not been named, \u003Cstrong>suffered from beta thalassemia\u003C\u002Fstrong>, a condition that results in the production of abnormal red blood cells. \u003Cstrong>In order to treat the condition, the patient underwent a procedure in which laboratory-grown blood cells were injected into their bloodstream.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>This is the first time that lab-grown blood cells have been used to treat a human patient, and it represents a significant milestone in the field of regenerative medicine. With further research and development, it is hoped that this technique could be used to treat a range of other blood disorders.\u003C\u002Fp>\n\n\n\n\u003Cp>The \u003Cstrong>Australian team is now working on expanding the clinical trials to include more patients. \u003C\u002Fstrong>If all goes well, we may see lab-grown blood become a regular treatment for blood disorders in the not-too-distant future.”\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What is wrong with it?\u003C\u002Fh3>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>According to the original article, researchers transplanted the blood into two healthy individuals\u003C\u002Fli>\u003Cli>Although beta thalassemia is indeed a serious disorder and is connected to blood cells, it has nothing to do with the lab-grown blood transplantation\u003C\u002Fli>\u003Cli>Not to mention how Australia ended up in the text, as the trial took place in the UK\u003C\u002Fli>\u003C\u002Ful>\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\u002F2021\u002F02\u002Ftmf_article_246-01-768x432.png\" alt=\"\" class=\"wp-image-32755\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_246-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Rytr – AI text generator:\u003C\u002Fh3>\n\n\n\n\u003Cp>“Blood transfusions are not a new invention. In fact, the first successful blood transfusion was done in 1667 by Jean-Baptiste Denis. However, we now have a new type of blood transfusion that is being tested on humans: lab-grown blood.\u003C\u002Fp>\n\n\n\n\u003Cp>Lab-grown blood is created using stem cells and it is possible to produce large quantities of this type of blood without any risk to the donor. The research on this topic has been going on for a while and there are many trials being run.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>In 2016, the first human trial was successfully completed by the Japanese company Kaneka Corporation with Dr. Takanori Takebe as their lead researcher. They used lab-grown erythrocytes in patients with thalassemia major and it proved successful in reducing their need for regular transfusions from one per week to one per three months or even less often than that!”\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What is wrong with it?\u003C\u002Fh3>\n\n\n\n\u003Cp>Well, mostly everything. \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>Although there is a Japanese company called Kaneka, it doesn’t have much to do with healthcare and nothing with dr. Takanori Takebe (as long as Google can be trusted to find a connection between them)\u003C\u002Fli>\u003Cli>There is a Dr Takanori Takebe, but although I researched for a while, he never seems to have published anything related to erythrocytes\u003C\u002Fli>\u003Cli>Then again, we have thalassemia major\u003C\u002Fli>\u003Cli>And the completely fake claim that there was a procedure that successfully reduced thalassemia patients’ need for regular transfusions from one per week to one every 3 months\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">Copy.ai – AI text generator:\u003C\u002Fh3>\n\n\n\n\u003Cp>“Scientists are trying to figure out how to make more blood, and they think they might have found a solution. In a recent trial, researchers gave lab-grown blood cells \u003Cstrong>to people who had lost too much of their own blood. The results were mixed: some patients did well with the cells, but others died because the transplant didn’t work properly. \u003C\u002Fstrong>This research is still in its early stages, so we don’t know what will happen if it’s tried again with more patients or other kinds of stem cells. Still, it’s exciting because \u003Cstrong>it shows that scientists are making progress towards curing serious diseases like sickle cell anemia \u003C\u002Fstrong>by using stem cells as treatments rather than just research tools!\u003C\u002Fp>\n\n\n\n\u003Cp>[here the text generator added some fascinating and completely unrelated paragraphs I skip for now to get to the point of the “article”]\u003C\u002Fp>\n\n\n\n\u003Cp>The patient received the lab-grown blood transfusion on\u003Cstrong> March 11th at the University of Minnesota Medical Center\u003C\u002Fstrong>. The goal was to see if this approach could be used as a way to safely deliver red blood cells to patients with blood disorders, like sickle cell disease or thalassemia, who need transfusions but for whom donated blood is not an option.\u003C\u002Fp>\n\n\n\n\u003Cp>The trial was successful in that it showed that lab-grown cells can be made into mature red blood cells and then used effectively by patients. But it didn’t go exactly as planned: \u003Cstrong>The patient developed an infection after receiving his transfusion, which is not uncommon for this type of procedure (many other trials have shown similar complications). That infection cleared up with treatment from antibiotics and antiviral drugs. Now he’s doing well and looking forward to going back home from the hospital later this week.”\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What is wrong with it?\u003C\u002Fh3>\n\n\n\n\u003Cp>That is a long list. \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>There were no trial participants who lost too much blood\u003C\u002Fli>\u003Cli>No one died \u003C\u002Fli>\u003Cli>The research on lab-grown blood is just in too early a phase to conclude they made progress towards curing sickle cell anaemia \u003C\u002Fli>\u003Cli>The date and the location are fabricated \u003C\u002Fli>\u003Cli>Luckily, by the end of the article, the patient recovered from dying but required all kinds of treatments  \u003C\u002Fli>\u003Cli>And of course, as the patient is non-existent, they can hardly have said they are looking forward to going home from the hospital\u003C\u002Fli>\u003C\u002Ful>\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\u002F2021\u002F02\u002Ftmf_article_243-01-768x432.png\" alt=\"\" class=\"wp-image-32629\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">What if synthetic healthcare workers will fill the gaps with alternative facts?\u003C\u002Fh3>\n\n\n\n\u003Cp>As synthetic media and AI content generation starts to become a thing, we better learn the limitations of these tools. Although creating beauty listicles with AI to make your job easy is not nice (Top 12 skin care tips for dry skin in the winter – anyone?), it will hopefully not endanger others. Although, I’m not even sure about that.\u003C\u002Fp>\n\n\n\n\u003Cp>But as we have seen, AI- creates trustworthy-looking texts about healthcare topics (and about finances, and so many other things) that are just not factual. \u003C\u002Fp>\n\n\n\n\u003Cp>There is so much talk about how synthetic media will enter healthcare and how algorithms will become our new colleagues. And that is fine if we talk about artificial narrow intelligence – chatbots that are trained to assist users in well-defined topics with a pre-set batch of information. \u003C\u002Fp>\n\n\n\n\u003Cp>But imagine such AI algorithms stepping in and answering people’s questions about the latest treatments. \u003C\u002Fp>\n\n\n\n\u003Cp>It comes up with false claims – how lab-grown blood has cured leukaemia and beta-thalassemia patients, it creates connections between companies and researchers and research topics that were never connected. \u003C\u002Fp>\n\n\n\n\u003Cp>I have no illusions. AI content generation WILL soon become pretty mainstream. We soon will be flooded with even more fake info than ever before. We all need to learn – or reinforce our habits – to check the sources of information. Beware, my friends. AI is here, it is generating content, and it is lying. The more you know about it, the better you will be prepared to not trust everything you read. \u003C\u002Fp>\n",{"rendered":196,"protected":20},"\u003Cp>Before you quickly lay off all your writers, let me show through a few examples of why trusting AI with content is dangerous as of now. TLDR spoiler: it is lying.  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We aim to show how physicians of the various professions can successfully prepare for the sweeping changes coming with the waves of technology. \u003C\u002Fp>\n",{"rendered":316,"protected":20},"\u003Cp>In this e-book we specify in detail how the appearance of artificial intelligence, sensors, wearables, VR\u002FAR or robots affect each medical specialty in order to […]\u003C\u002Fp>\n",10,49971,[320],2015,[322,309,323,51,53,54],"post-24759","type-book",{"id":318,"alt_text":27,"caption":27,"description":27,"media_type":67,"media_details":325,"post":113,"source_url":341},{"width":326,"height":327,"file":328,"filesize":329,"sizes":330,"image_meta":340},320,414,"2019\u002F09\u002Ffuture-of-medical-specialties.png",24785,{"medium":331,"thumbnail":336},{"file":332,"width":333,"height":77,"mime-type":78,"filesize":334,"source_url":335},"future-of-medical-specialties-320x208.png","320","52681","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties-320x208.png",{"file":337,"width":89,"height":89,"mime-type":78,"filesize":338,"source_url":339},"future-of-medical-specialties-150x150.png","26567","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties-150x150.png",{"aperture":106,"credit":27,"camera":27,"caption":27,"created_timestamp":106,"copyright":27,"focal_length":106,"iso":106,"shutter_speed":106,"title":27,"orientation":106},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties.png",{"leanpub_url":343,"buy_button_text":344,"preview":345},"https:\u002F\u002Fleanpub.com\u002Ffuture-of-medical-specialties","Get it on Leanpub",[346,348,350,352,354,356,358,360,362,364],{"image":347},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-01.png",{"image":349},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-02.png",{"image":351},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-03.png",{"image":353},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-04.png",{"image":355},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-05.png",{"image":357},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-06.png",{"image":359},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-07.png",{"image":361},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-08.png",{"image":363},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-09.png",{"image":365},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-10.png",{"yoast_wpseo_title":367,"yoast_wpseo_metadesc":27,"yoast_wpseo_canonical":310},"The Technological Future of Medical Specialties - The Medical Futurist",{"self":369,"collection":374,"about":377,"author":380,"replies":383,"wp:featuredmedia":386,"wp:attachment":389,"wp:term":392,"curies":395},[370],{"href":371,"targetHints":372},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F24759",{"allow":373},[134],[375],{"href":376},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[378],{"href":379},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[381],{"embeddable":26,"href":382},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F10",[384],{"embeddable":26,"href":385},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24759",[387],{"embeddable":26,"href":388},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49971",[390],{"href":391},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24759",[393],{"taxonomy":175,"embeddable":26,"href":394},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24759",[396],{"name":179,"href":180,"templated":26},1787036551116]