[{"data":1,"prerenderedAt":401},["ShallowReactive",2],{"slug-would-temperature-control-help-against-chatgpts-hallucinations":3},{"post":4,"relatedPosts":183,"relatedBooks":318},{"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":41,"contact_email_category":43,"yst_prominent_words":44,"class_list":50,"better_featured_image":67,"acf":110,"yoast_meta":127,"_links":130},56371,"2024-06-04T09:30:00","2024-06-04T07:30:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=56371&_wpnonce=d1a8533214&status=auto-draft&type=post","2024-06-03T21:36:14","2024-06-03T19:36:14","would-temperature-control-help-against-chatgpts-hallucinations","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fwould-temperature-control-help-against-chatgpts-hallucinations",{"rendered":17},"Would Temperature Control Help Against ChatGPT’s Hallucinations?",{"rendered":19,"protected":20},"\n\u003Cp>Since the launch of ChatGPT, one of the most significant arguments against the use of large language models (LLMs) has been their \u003Ca href=\"https:\u002F\u002Fwww.lakera.ai\u002Fblog\u002Fguide-to-hallucinations-in-large-language-models\" target=\"_blank\" rel=\"noreferrer noopener\">tendency to hallucinate\u003C\u002Fa>. Numerous articles and studies have been published addressing this issue, and you can even check the \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvectara\u002Fhallucination-leaderboard\u002Ftree\u002Fmain?tab=readme-ov-file\" target=\"_blank\" rel=\"noreferrer noopener\">regularly updated leaderboard\u003C\u002Fa> showing how models perform.\u003C\u002Fp>\n\n\n\n\u003Cp>With the release of newer versions, like GPT-4o, you might assume that such issues would be nearly nonexistent. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002FRYJxTDo0N699Ei3kbw3EWn-H6AQ-jeTto6dgsDmQYc0xihTDMMmHHhI_3yRrLHQ4oJSKPt8pJPVk9kryewl8Qz8WjFKwSajiB9rAVDoYkkfur6wOId_UhQG9fwLRFt2OynD3G52ok59DGzUiL61GfBo\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>However, just the other day, we requested citations on a specific topic (AI in diagnostics) from ChatGPT, and despite multiple attempts, it refused to provide a working link. The journal existed when asked to provide the URL, but the cited article did not.\u003C\u002Fp>\n\n\n\n\u003Cp>We set out to test this and got completely mixed results. Under some circumstances, GPT-4o offered valid URLs, while the answers were utterly useless in other cases. \u003C\u002Fp>\n\n\n\n\u003Cp>Recently, I came across a great paper: “\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fjournals.plos.org\u002Fdigitalhealth\u002Farticle?id=10.1371\u002Fjournal.pdig.0000503\" target=\"_blank\">Addressing 6 challenges in generative AI for digital health: A scoping review\u003C\u002Fa>” that not only listed the 6 major concerns but also their suggested solutions. The review synthesized 120 articles focusing on generative AI in medicine and determined that the six most pressing problems are bias, privacy, hallucination, and regulatory compliance, and the less well-known issues of overreliance on text models, and adversarial misprompting (or: jailbreaking in layman terms).\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"663\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002FGenAI-challenges-e1717420107779-768x663.jpg\" alt=\"\" class=\"wp-image-56377\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002FGenAI-challenges-e1717420107779-768x663.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002FGenAI-challenges-e1717420107779-1536x1327.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002FGenAI-challenges-e1717420107779-2048x1769.jpg 2048w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The suggested solutions to avoid AI hallucinations are knowledge graphs and temperature control. Knowledge graphs are not our topics here, and they are entirely in the developer’s hands, so let’s just quickly summarise them in a few sentences. \u003C\u002Fp>\n\n\n\n\u003Cp>A knowledge graph is \u003Ca href=\"https:\u002F\u002Fai.stanford.edu\u002Fblog\u002Fintroduction-to-knowledge-graphs\u002F\">a structured set of information\u003C\u002Fa>. It allows LLMs to verify generated information against established facts and reduce the likelihood of hallucinating. Imagine it as a spatial (3D) object that shows structured data and the relationships and connections between these things. \u003C\u002Fp>\n\n\n\n\u003Cp>Here is a super simple example: \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002Fu_92XdP4SXAGxHI_FnbIiKOkVapZ1dUbjD7dTe-ntUHKGT1KP3r5AQSjmhWHKdgDEM6kE_ZZLC_p8G7e6WL_8aRAW30FvrkUzNYDVuXhhLnbbNqWhNDNZE2kcxl5hrsuEH66FIeiSPE9bNLrg1VrmcE\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>In essence, a knowledge graph can act as a safeguard against inaccurate or misleading outputs by providing a foundation of verified information that the LLM can draw upon. This can be particularly important in medical applications where accuracy and reliability are non-negotiable.\u003C\u002Fp>\n\n\n\n\u003Cp>By fortifying models with comprehensive, accurate, and up-to-date structured information, they can spot more easily if something is “out of the ordinary” and will make sure to double-check.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Why do AI models have a temperature? Can they run a fever?\u003C\u002Fh2>\n\n\n\n\u003Cp>So let’s take a look at the first part of the suggested solution: temperature, starting with the basics.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>In the context of LLMs, temperature is a parameter that influences the balance between predictability and creativity in generated text. \u003C\u002Fstrong>Lower temperatures rely on learned patterns, resulting in more deterministic and factually accurate outputs. Meanwhile, higher temperatures encourage exploration, leading to more diverse and creative, albeit potentially riskier, fabricated responses.\u003C\u002Fp>\n\n\n\n\u003Cp>In essence, the temperature setting acts as a dial that can be adjusted to prioritise either accuracy or creativity, depending on the specific use case. This concept is particularly relevant for medical professionals, who require accuracy and reliability in AI-generated information. \u003C\u002Fp>\n\n\n\n\u003Cp>By understanding and potentially manipulating the temperature setting, healthcare providers can better use the power of generative AI while mitigating the risks of hallucinations and other inaccuracies.\u003C\u002Fp>\n\n\n\n\u003Cp>So, there might be a future where we have adjustable sliders to control the “temperature” of LLM responses, especially if companies like OpenAI take note and decide to address this issue. But let’s not wait for that to happen. It’s crucial to understand that this temperature parameter exists and that the quality of responses isn’t necessarily constant.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002FJ-ZMKkqN3d-7sIWg6N44e8mcwelr_TQMqRmb9siGL0NjP6s2u8M9elOnWTm7YoUp6S7w8FJaFjpUQ2RLuwLrXvg3XLSImOwUYMMqaRT8kJeiia1a67yxSCzi3x-XfuJAGq3xTyyUFW4puDk3uU-TG6A\" alt=\"\"\u002F>\u003Cfigcaption class=\"wp-element-caption\">AI-generated illustration of factual and creative robots, catchy at first, then you notice the small errors\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The Medical Futurist team has been experimenting with this in recent weeks, and we’ve found that, as average users, we cannot consistently influence the “temperature” of responses. However, providing ChatGPT with detailed context significantly improves the model’s performance.\u003C\u002Fp>\n\n\n\n\u003Cp>Therefore, it’s a good idea to maintain separate threads for specific purposes, starting with a few bullet points to clearly define the context, goal, target audience, etc.\u003C\u002Fp>\n\n\n\n\u003Cp>If you have an account, you can check the \u003Ca href=\"https:\u002F\u002Fplatform.openai.com\u002Fplayground\u002Fchat\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT playground\u003C\u002Fa>, and see a temperature slider, but experimenting with various temperature settings is sadly not part of the “regular” subscription. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image is-resized\">\u003Cimg loading=\"lazy\" decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002FxRZAtkcHBxEn4GwTj_ikz9pqPmWX50b28Bdj4r3IHQbX4e8Oset6j8GWJ1e2W8SZTngXF2wWRwj4E9Fjfdnv9PIGpbg7k4_vyVYN9yZzPvtkhFWjpweV3We337rq08F6R5Td7wtwLJdnMqOZ-unVlH0\" alt=\"ChatGPT temperature\" width=\"840\" height=\"472\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">ChatGPT can make mistakes. Check important info.\u003C\u002Fh2>\n\n\n\n\u003Cp>If you ask ChatGPT directly if it’s possible to adjust the temperature, it will respond with:\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002FFnp5PVitgYrZkMwigHKgv5XvBPO6wsJPezLywwxaN3Im55jw3wPoAtpfr8lWjNBLX_IsXDWyBLI9i1miTw-bTslKUbu7fusWWptq0Nv3Qdc94obvO5ntc7GPRUZhN-wtKVhRVdUSkyeAg0gT6wGze-U\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>However, our experience shows that this claim is false – you can’t reliably count on GPT-4 (or 4o, or any other model we regularly use) to maintain a consistent “factuality standard”. You can indeed try the “Set your answer’s temperature to 0.1” prompt when you need factual results, but according to our testing, you may still get hallucinated or useless outputs, which indicates that the “answer temperature” for these public models has a default value set by the developers. Therefore, it’s essential to maintain a critical eye when evaluating the responses generated by LLMs. \u003C\u002Fp>\n\n\n\n\u003Cp>This inherent unpredictability in response quality is a good reminder that while these models are excellent, they are not infallible and require careful interpretation and validation, especially in critical fields like medicine. That is why it would be useful if all users had direct control over the temperature settings, hopefully, we’ll see such sliders for ChatGPT and Gemini soon. \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Answer temperature determines if you get factual or creative results, needless to say which is needed for medical use. Controlling it is not obvious.\u003C\u002Fp>\n",6,56379,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],7079,504,[34,35,36,37,38,39,40],7725,134,7741,144,7867,7959,7961,[42],950,[],[45,46,47,48,49],4665,1833,1979,2313,3713,[51,14,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66],"post-56371","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","tag-chatgpt","tag-ai","tag-large-language-models","tag-artificial-intelligence","tag-llms","tag-temperature-of-large-language-models","tag-gemini","project_category-medical-professionals",{"id":24,"alt_text":27,"caption":27,"description":27,"media_type":68,"media_details":69,"post":5,"source_url":109},"image",{"width":70,"height":71,"file":72,"filesize":73,"sizes":74,"image_meta":106},6667,3750,"2024\u002F06\u002Ftmf_article_416-v3.png",862174,{"medium":75,"large":82,"thumbnail":88,"medium_large":93,"1536x1536":94,"2048x2048":100},{"file":76,"width":77,"height":78,"mime-type":79,"filesize":80,"source_url":81},"tmf_article_416-v3-370x208.png",370,208,"image\u002Fpng",24660,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-370x208.png",{"file":83,"width":84,"height":85,"mime-type":79,"filesize":86,"source_url":87},"tmf_article_416-v3-768x432.png",768,432,54565,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-768x432.png",{"file":89,"width":90,"height":90,"mime-type":79,"filesize":91,"source_url":92},"tmf_article_416-v3-150x150.png",150,8820,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-150x150.png",{"file":83,"width":84,"height":85,"mime-type":79,"filesize":86,"source_url":87},{"file":95,"width":96,"height":97,"mime-type":79,"filesize":98,"source_url":99},"tmf_article_416-v3-1536x864.png",1536,864,125266,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-1536x864.png",{"file":101,"width":102,"height":103,"mime-type":79,"filesize":104,"source_url":105},"tmf_article_416-v3-2048x1152.png",2048,1152,169905,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-2048x1152.png",{"aperture":107,"credit":27,"camera":27,"caption":27,"created_timestamp":107,"copyright":27,"focal_length":107,"iso":107,"shutter_speed":107,"title":27,"orientation":107,"keywords":108},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3.png",{"cta_type":111,"cta_color":27,"related_posts_footer":112,"related_posts":20,"related_books":116,"subtitle":27,"key_takeaways":120},"subscribe",[113,114,115],56253,56163,55995,[117,118,119],24759,24762,37033,[121,123,125],{"title":122},"\u003Cp>Despite advancements in large language models like GPT-4o, issues with AI hallucinations—generating plausible but false information—still exist and can impact reliability in medical diagnostics.\u003C\u002Fp>\n",{"title":124},"\u003Cp>Temperature control, a parameter that influences the balance between creativity and accuracy in LLM outputs, could be a key factor in mitigating hallucinations.\u003C\u002Fp>\n",{"title":126},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">While precise temperature control is out of reach for the average user, knowing a few tricks can help keep AI chatbots on the path of truth, making them more reliable for everyday use.\u003C\u002Fspan>\u003C\u002Fp>\n",{"yoast_wpseo_title":128,"yoast_wpseo_metadesc":129,"yoast_wpseo_canonical":15},"Would Temperature Control Help Against ChatGPT's Hallucinations?","Answer temperature determines if you get factual or creative results, needless to say which is needed for medical use. Controlling it is not obvious.",{"self":131,"collection":137,"about":140,"author":143,"replies":146,"version-history":149,"predecessor-version":153,"wp:featuredmedia":157,"wp:attachment":160,"wp:term":163,"curies":179},[132],{"href":133,"targetHints":134},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F56371",{"allow":135},[136],"GET",[138],{"href":139},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[141],{"href":142},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[144],{"embeddable":26,"href":145},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[147],{"embeddable":26,"href":148},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=56371",[150],{"count":151,"href":152},13,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F56371\u002Frevisions",[154],{"id":155,"href":156},56411,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F56371\u002Frevisions\u002F56411",[158],{"embeddable":26,"href":159},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F56379",[161],{"href":162},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=56371",[164,167,170,173,176],{"taxonomy":165,"embeddable":26,"href":166},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=56371",{"taxonomy":168,"embeddable":26,"href":169},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=56371",{"taxonomy":171,"embeddable":26,"href":172},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=56371",{"taxonomy":174,"embeddable":26,"href":175},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=56371",{"taxonomy":177,"embeddable":26,"href":178},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=56371",[180],{"name":181,"href":182,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[184],{"id":115,"date":185,"date_gmt":186,"guid":187,"modified":185,"modified_gmt":186,"slug":189,"status":13,"type":14,"link":190,"title":191,"content":193,"excerpt":195,"author":197,"featured_media":198,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":199,"categories":200,"tags":203,"project_category":208,"contact_email_category":209,"yst_prominent_words":210,"class_list":219,"better_featured_image":227,"acf":257,"yoast_meta":273,"_links":276},"2025-03-18T14:26:01","2025-03-18T13:26:01",{"rendered":188},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=55995&_wpnonce=0364e4f18f&status=auto-draft&type=post","a-guide-to-the-future-for-medical-students","https:\u002F\u002Fmedicalfuturist.com\u002Fa-guide-to-the-future-for-medical-students",{"rendered":192},"A Guide To The Future For Medical Students",{"rendered":194,"protected":20},"\n\u003Cp>A medical student’s path has traditionally been one of the most challenging at higher education levels. Getting into medical school is the first boundary to cross, with \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.theguardian.com\u002Feducation\u002F2022\u002Fjun\u002F22\u002F2022-hardest-year-in-living-memory-to-enter-uk-medical-school\" target=\"_blank\">less than 16% of applicants\u003C\u002Fa> getting an offer in some cases. Once in, students undergo \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.usnews.com\u002Feducation\u002Fbest-graduate-schools\u002Farticles\u002Fhow-hard-is-medical-school-and-what-is-the-med-school-curriculum\" target=\"_blank\">rigorous theoretical and practical training\u003C\u002Fa> over the course of several years before joining the medical workforce. This process has been typical of a medical student’s journey and has come to be expected if one decides to pursue the medical profession.\u003C\u002Fp>\n\n\n\n\u003Cp>However, in recent years, a new challenge has presented itself to current and prospective medical students: what will their future profession look like? It has become increasingly apparent that medical practice is undergoing a significant change and is presenting new sets of challenges, which has been precipitated by the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-tech-here-to-stay-after-covid-19\u002F\" target=\"_blank\">COVID-19 pandemic\u003C\u002Fa>. Digital health approaches such as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F10-things-you-can-definitely-expect-from-the-future-of-healthcare-ai\u002F\" target=\"_blank\">artificial intelligence (AI) assistance\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.who.int\u002Feurope\u002Fnews\u002Fitem\u002F13-11-2023-reimbursing-health-care-providers-for-the-use-of-digital-health-tools-is-key-to-accessing-new-technologies--study-shows\" target=\"_blank\">remote care delivery\u003C\u002Fa> are changing the medical landscape, while \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F8-ways-to-impress-your-doctor-in-digital-health\u002F\" target=\"_blank\">empowered patients\u003C\u002Fa> are changing the doctor-patient relationship. \u003C\u002Fp>\n\n\n\n\u003Cp>With such a rapidly evolving landscape, medical students might not feel prepared for the digital health-powered future that awaits them. As such, we aimed to write this article to guide medical students regarding what they can expect to see when they start practising medicine. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>A cultural transformation will shape digital health practices\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>While digital health is fuelled by technological means, its effective implementation in medical practice relies on \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">a cultural transformation\u003C\u002Fa>. This means that new roles and new partnerships will be essential in achieving such implementation. In particular, the traditional, hierarchical model with one-way communication and decision-making between doctors and patients will no longer be relevant. \u003C\u002Fp>\n\n\n\n\u003Cp>This is being replaced by an equal-level partnership where empowered patients bring insights about their own health through data collected by wearables and, using this data, discuss treatment plans with their physicians. The latter will, in turn, have to adopt the role of guides to recommend to patients which digital health products can assist patients in their condition management and provide clinical relevance to the data collected.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"360\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F03\u002FPatient-Doctor-Partnership-768x360.png\" alt=\"empowered patient\" class=\"wp-image-23467\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F03\u002FPatient-Doctor-Partnership-768x360.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F03\u002FPatient-Doctor-Partnership-1536x721.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F03\u002FPatient-Doctor-Partnership-512x240.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F03\u002FPatient-Doctor-Partnership.png 1547w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Learn to work with empowered patients\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Future doctors must expect such a dynamic with empowered patients and should be able to support them in their digital health journey. This is because with a myriad of tools available for patients, they don’t need the permission of doctors to monitor their health but would benefit from medical supervision and advice. \u003C\u002Fp>\n\n\n\n\u003Cp>With the paradigm shift that patient empowerment presents, patients essentially need to be considered as members of their own medical team and should be encouraged to have some input in their medical journey. Doctors will thus have to learn to work with them, understand their needs and guide them.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>AI will assist, and not replace, doctors\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Science fiction tropes often depict AI as overtaking humans, leading to a dystopian future. Recent developments in the AI field have led to real-life comparisons with such depictions, with fears of AI \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fedition.cnn.com\u002F2024\u002F01\u002F15\u002Ftech\u002Fimf-global-employment-risk-ai-intl-hnk\u002Findex.html\" target=\"_blank\">taking over\u003C\u002Fa> the jobs of humans. This also includes the fear of AI replacing doctors but is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-reasons-artificial-intelligence-wont-replace-physicians\" target=\"_blank\">very likely unfounded\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>This is because while AI can handle specific, data-heavy tasks extremely well, medical practice is not linear and requires human creativity to handle complex tasks. Moreover, AI cannot replace the human touch nor the empathy required in care delivery. AI will have a place in the future of medical practice, handling repetitive tasks and assisting in decision-making. But delivering \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-age-of-a-i-will-value-compassionate-care-more-than-ever\u002F\" target=\"_blank\">compassionate care\u003C\u002Fa> will be the task of humans, and future doctors have to hone this skill.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Why Am I Optimistic About AI In Healthcare? - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FfVLTLXTnLLE?start=2&feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Develop prompt engineering skills to interact with generative AI tools\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Another skill that doctors in the near future will have to develop is the ability to work with generative AI tools. These have become popular \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhats-next-for-chatgpt-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">in recent years\u003C\u002Fa> and will only improve over time. Medical students would benefit from developing \u003Ca href=\"https:\u002F\u002Fwww.jmir.org\u002F2023\u002F1\u002Fe50638\" target=\"_blank\" rel=\"noreferrer noopener\">prompt engineering skills\u003C\u002Fa> to interact more efficiently with generative AI tools. Effective prompts and queries can assist doctors in administrative tasks, improve patient engagement, as well as aid in research and education. \u003C\u002Fp>\n\n\n\n\u003Cp>Such skills can further be transferred to other future AI models such as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-could-an-ai-video-generator-add-to-healthcare\u002F\" target=\"_blank\">AI video generation\u003C\u002Fa>. This will make future doctors more relevant in the digital health age, and it can further be said that doctors using AI will replace doctors that don’t use the technology.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Technologies will impact specialties in specific ways\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>AI is not the only technology that future doctors will have to learn to work with. In particular, specific technologies will impact medical specialties \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftowards-creativity-in-healthcare-the-impact-of-digital-technologies-on-medical-specialties-in-an-infographic\u002F\" target=\"_blank\">in specific ways\u003C\u002Fa>. For example, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-healthcare-examples-of-virtual-augmented-and-mixed-reality\u002F\">exten\u003C\u002Fa>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-healthcare-examples-of-virtual-augmented-and-mixed-reality\u002F\" target=\"_blank\">d\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-healthcare-examples-of-virtual-augmented-and-mixed-reality\u002F\">ed reality technologies\u003C\u002Fa> will persist as drug-free alternatives for pain and phobia treatment, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftesting-a-wireless-wearable-glucose-sensor-freestyle-libre-review\u002F\" target=\"_blank\">wearable glucose sensors\u003C\u002Fa> will reduce the friction when monitoring diabetics condition, and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftech-vs-tremors-digital-health-tools-for-tremor-management\u002F\" target=\"_blank\">stabilising utensils\u003C\u002Fa> will help manage tremors and improve the independence of patients. \u003C\u002Fp>\n\n\n\n\u003Cp>Medical students have to learn to cooperate with those specialty-specific technologies. They have to understand how they are impacting individual specialty and the skills required to interact and implement them in their practice.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-768x432.png\" alt=\"\" class=\"wp-image-24513\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-512x288.png 512w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Purposeful technologies are needed\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>There is and will continue to be an ocean of new technologies with purported healthcare applications. However, to be truly meaningful, they must meet a real-life patient or clinical need. Otherwise they are useless.\u003C\u002Fp>\n\n\n\n\u003Cp>For example, at the annual \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fbest-of-ces-health-tech-2024-from-medical-tricorders-to-ai-powered-mirrors\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Consumer Electronics Show\u003C\u002Fa>, a number of promising digital health tools are showcased. But at the same time, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fces-2020-the-wows-and-the-whys-in-health-tech-innovation\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">much less useful ones\u003C\u002Fa> are presented such as an eye mask that helps rest your eyes by having you do nothing. The market is filled with such gimmicks which can overwhelm patients. Doctors will have to be able to advise patients on which technologies are actually useful.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Understand and embrace patient design\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Some of the digital health technologies and approaches of the future will be influenced by \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F3-reasons-why-patient-design-must-replace-the-patient-centricity-illusion\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">patient design.\u003C\u002Fa> The latter involves patients as active participants at the highest levels of decision-making in healthcare. Such an approach has led to \u003Ca href=\"https:\u002F\u002Fexstent.com\u002Fsurgical-centres\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">improved surgical procedures\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fpeek-into-the-future-of-hospitals\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">redesigned departments\u003C\u002Fa>. Physicians of the future will have to get used to such an approach. They need to be able to welcome and encourage suggestions from their patients to improve the medical experience. \u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"498\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FPatient-design-quote-tmf-768x498.png\" alt=\"\" class=\"wp-image-47387\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FPatient-design-quote-tmf-768x498.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FPatient-design-quote-tmf-1536x995.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FPatient-design-quote-tmf-2048x1327.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F09\u002FPatient-design-quote-tmf.png 1667w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Digital health literacy is a must\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>To remain at the top of their game as future physicians, medical students need digital health literacy. Over the coming years, we should expect more tools, technologies and patient-led approaches to be implemented in healthcare. New AI techniques could have as significant of an impact as generative AI has had recently. Similarly, new wearables could provide patients with additional health data to assist their condition management. \u003C\u002Fp>\n\n\n\n\u003Cp>Medical students will thus have to keep up with the intricacies of emerging digital health trends, approaches and technologies in order to deliver digitally-enabled care. They will need to have an open mind towards new practices and should be ready to keep learning. This will, in turn, enable them to guide and support their patients throughout their digital health journey. You can rest assured that The Medical Futurist will assist in making the digital health landscape digestible to the aspiring doctor. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cem>Written by Dr. Bertalan Meskó & Dr. Pranavsingh Dhunnoo\u003C\u002Fem>\u003C\u002Fp>\n",{"rendered":196,"protected":20},"\u003Cp>How can we train doctors today for the patients of the future? Medicine will be materially different, we listed the main aspects of change. \u003C\u002Fp>\n",16,56165,{"_acf_changed":20,"footnotes":27},[31,201,202],521,516,[204,205,206,207],1328,7947,7949,7951,[42],[],[211,212,213,214,215,216,217,218,46],2281,1571,1617,1631,1681,1721,1723,1741,[220,14,52,53,54,55,56,57,221,222,223,224,225,226,66],"post-55995","category-future-medicine","category-medical-education","tag-medical-student","tag-residents","tag-future-doctors","tag-medical-training",{"id":198,"alt_text":228,"caption":27,"description":228,"media_type":68,"media_details":229,"post":114,"source_url":256},"medical student, doctor, resident, man",{"width":70,"height":71,"file":230,"filesize":231,"sizes":232,"image_meta":254},"2024\u002F05\u002Ftmf_article_414.png",909755,{"medium":233,"large":237,"thumbnail":241,"medium_large":245,"1536x1536":246,"2048x2048":250},{"file":234,"width":77,"height":78,"mime-type":79,"filesize":235,"source_url":236},"tmf_article_414-370x208.png",41832,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Ftmf_article_414-370x208.png",{"file":238,"width":84,"height":85,"mime-type":79,"filesize":239,"source_url":240},"tmf_article_414-768x432.png",101558,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Ftmf_article_414-768x432.png",{"file":242,"width":90,"height":90,"mime-type":79,"filesize":243,"source_url":244},"tmf_article_414-150x150.png",21125,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Ftmf_article_414-150x150.png",{"file":238,"width":84,"height":85,"mime-type":79,"filesize":239,"source_url":240},{"file":247,"width":96,"height":97,"mime-type":79,"filesize":248,"source_url":249},"tmf_article_414-1536x864.png",228077,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Ftmf_article_414-1536x864.png",{"file":251,"width":102,"height":103,"mime-type":79,"filesize":252,"source_url":253},"tmf_article_414-2048x1152.png",320774,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Ftmf_article_414-2048x1152.png",{"aperture":107,"credit":27,"camera":27,"caption":27,"created_timestamp":107,"copyright":27,"focal_length":107,"iso":107,"shutter_speed":107,"title":27,"orientation":107,"keywords":255},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F05\u002Ftmf_article_414.png",{"cta_type":111,"cta_color":27,"subtitle":27,"key_takeaways":258,"related_books":265,"related_posts_footer":269,"related_posts":20},[259,261,263],{"title":260},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">The major changes in medicine present new challenges to which medical students might not be prepared for. \u003C\u002Fspan>\u003C\u002Fp>\n",{"title":262},"\u003Cp>Medical practices of the future will be marked with novel technologies and, importantly, a cultural transformation.\u003C\u002Fp>\n",{"title":264},"\u003Cp>Here are eight cornerstones of this coming change\u003C\u002Fp>\n",[266,267,268],47427,52203,34151,[270,271,272],13255,34893,50545,{"yoast_wpseo_title":274,"yoast_wpseo_metadesc":275,"yoast_wpseo_canonical":190},"A Guide To The Future For Medical Students - The Medical Futurist","How can we train doctors today for the patients of the future? Medicine will be materially different, we listed the main aspects of change.",{"self":277,"collection":282,"about":284,"author":286,"replies":289,"version-history":292,"predecessor-version":295,"wp:featuredmedia":299,"wp:attachment":302,"wp:term":305,"curies":316},[278],{"href":279,"targetHints":280},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55995",{"allow":281},[136],[283],{"href":139},[285],{"href":142},[287],{"embeddable":26,"href":288},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F16",[290],{"embeddable":26,"href":291},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=55995",[293],{"count":151,"href":294},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55995\u002Frevisions",[296],{"id":297,"href":298},58603,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F55995\u002Frevisions\u002F58603",[300],{"embeddable":26,"href":301},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F56165",[303],{"href":304},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=55995",[306,308,310,312,314],{"taxonomy":165,"embeddable":26,"href":307},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=55995",{"taxonomy":168,"embeddable":26,"href":309},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=55995",{"taxonomy":171,"embeddable":26,"href":311},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=55995",{"taxonomy":174,"embeddable":26,"href":313},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=55995",{"taxonomy":177,"embeddable":26,"href":315},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=55995",[317],{"name":181,"href":182,"templated":26},[319],{"id":119,"date":320,"date_gmt":321,"guid":322,"modified":324,"modified_gmt":325,"slug":326,"status":13,"type":327,"link":328,"title":329,"content":331,"excerpt":333,"author":23,"featured_media":335,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":336,"class_list":337,"better_featured_image":340,"acf":358,"yoast_meta":370,"_links":373},"2021-12-02T11:04:38","2021-12-02T10:04:38",{"rendered":323},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=37033","2025-05-29T13:51:30","2025-05-29T11:51:30","hype-cycle-of-the-top-50-emerging-digital-health-trends","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fhype-cycle-of-the-top-50-emerging-digital-health-trends\u002F",{"rendered":330},"The Technology Adoption Curve Of The Top 50 Emerging Digital Health Trends",{"rendered":332,"protected":20},"\n\u003Cp>This is the first time we publish The Medical Futurist’s Technology Adoption Curve, showing 50 of the most promising digital health technologies the way we, at The Medical Futurist, see them today. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003C\u002Fp>\n",{"rendered":334,"protected":20},"\u003Cp>This is the first time we publish The Medical Futurist’s Technology Adoption Curve, showing 50 of the most promising digital health technologies the way we, […]\u003C\u002Fp>\n",49955,[217],[338,327,339,53,55,56],"post-37033","type-book",{"id":335,"alt_text":27,"caption":27,"description":27,"media_type":68,"media_details":341,"post":119,"source_url":357},{"width":342,"height":343,"file":344,"filesize":345,"sizes":346,"image_meta":355},320,414,"2021\u002F12\u002Fhype-cycle.png",79823,{"medium":347,"thumbnail":351},{"file":348,"width":342,"height":78,"mime-type":79,"filesize":349,"source_url":350},"hype-cycle-320x208.png",35531,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F12\u002Fhype-cycle-320x208.png",{"file":352,"width":90,"height":90,"mime-type":79,"filesize":353,"source_url":354},"hype-cycle-150x150.png",20118,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F12\u002Fhype-cycle-150x150.png",{"aperture":107,"credit":27,"camera":27,"caption":27,"created_timestamp":107,"copyright":27,"focal_length":107,"iso":107,"shutter_speed":107,"title":27,"orientation":107,"keywords":356},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F12\u002Fhype-cycle.png",{"buy_button_text":359,"leanpub_url":360,"preview":361},"Buy 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In this book, we analyze the Top 50 Digital Health Trends.",{"self":374,"collection":379,"about":382,"author":385,"replies":387,"wp:featuredmedia":390,"wp:attachment":393,"wp:term":396,"curies":399},[375],{"href":376,"targetHints":377},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F37033",{"allow":378},[136],[380],{"href":381},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[383],{"href":384},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[386],{"embeddable":26,"href":145},[388],{"embeddable":26,"href":389},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=37033",[391],{"embeddable":26,"href":392},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49955",[394],{"href":395},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=37033",[397],{"taxonomy":177,"embeddable":26,"href":398},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=37033",[400],{"name":181,"href":182,"templated":26},1785696764154]