[{"data":1,"prerenderedAt":416},["ShallowReactive",2],{"slug-ai-in-medicine-3-future-scenarios-from-utopia-to-dystopia":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":34,"project_category":39,"contact_email_category":42,"yst_prominent_words":43,"class_list":51,"better_featured_image":67,"acf":111,"yoast_meta":128,"_links":130},57059,"2026-04-30T10:22:39","2026-04-30T08:22:39",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=57059&_wpnonce=43909a9351&status=auto-draft&type=post","2026-04-30T10:22:40","2026-04-30T08:22:40","ai-in-medicine-3-future-scenarios-from-utopia-to-dystopia","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fai-in-medicine-3-future-scenarios-from-utopia-to-dystopia",{"rendered":17},"AI In Medicine: 3 Future Scenarios From Utopia To Dystopia",{"rendered":19,"protected":20},"\n\u003Cp>Ever find yourself pondering about the future of healthcare, with artificial intelligence either as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F4-exciting-examples-of-ai-diagnostics-already-in-use\" target=\"_blank\">our best mate\u003C\u002Fa> or our malevolent overlord? We all do. And let’s face it, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fai-assistance-in-clinical-trials-the-practical-opportunities\" target=\"_blank\">the reality\u003C\u002Fa> is \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-reasons-artificial-intelligence-wont-replace-physicians\u002F\">somewhere in between\u003C\u002Fa> those Hollywood extremes. But where exactly?\u003C\u002Fp>\n\n\n\n\u003Cp>Let me show you how we can \u003C\u002Fp>\n\n\n\n\u003Cp>A. Model how various future scenarios might look like, and\u003Cbr>B. Determine the steps we need to take now to build a good future and avoid the nightmare scenarios\u003C\u002Fp>\n\n\n\n\u003Cp>We will employ a structured methodology to guide our exploration:\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\n\u003Cli>Select a common value: This will serve as our yardstick by which we measure all scenarios. In our case, this will be the doctor-patient connection.\u003C\u002Fli>\n\n\n\n\u003Cli>Constructing the utopia: Imagining a world where this value thrives, leading to the best possible outcomes.\u003C\u002Fli>\n\n\n\n\u003Cli>Defining the dystopia: Exploring the bleak consequences if this value were to disappear.\u003C\u002Fli>\n\n\n\n\u003Cli>Envisioning the mid-range scenario: Finding a balanced vision between the extremes, outlining its detailed aspects.\u003C\u002Fli>\n\n\n\n\u003Cli>Finally, we’ll reverse engineer our way to this middle ground, identifying the steps we can take today to ensure that AI serves the best interests of patients and strengthens, rather than weakens, the doctor-patient bond.\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Utopia: an AI-augmented healthcare paradise\u003C\u002Fh2>\n\n\n\n\u003Cp>In our utopian scenario, AI serves as the ultimate assistant to physicians, enhancing their capabilities without ever replacing them. Doctors have access to advanced AI tools that provide real-time data analysis, predictive diagnostics, and personalised treatment plans. Freed from administrative burdens and armed with a wealth of information, doctors can devote more time and energy to building meaningful relationships with their patients. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002Fdocsz\u002FAD_4nXctgN4HKirhv4XuR0CKWHeqmS0i2R7vL2YEg9shHtb6MQZLkxNMcdbqCO8zJZrfTmp8C8qKDBg-p0_0toeMUMn3bzPRQqvXNivGVDHGvTfOL8m436BC8297MmziX1VJJo1DFcTfMI7YXYkXiFZYXsTn_4w?key=EcRIIpmQXyjDr5rE_ZAzpQ\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Patients, in turn, benefit from AI-based technologies that are not only safe but also easily accessible, offering them tailored health insights and proactive care solutions. The human touch remains at the core of healthcare, with AI acting as a powerful ally in the pursuit of medical excellence.\u003C\u002Fp>\n\n\n\n\u003Cp>In this ideal world, regulatory frameworks are both excellent and flexible, adapting swiftly to technological advancements while ensuring stringent safety and ethical standards. Companies respect boundaries, adhering to regulations that prioritise patient welfare and data privacy. Advanced encryption and security measures safeguard patient information, while the integration of AI leads to significant reductions in healthcare costs, making high-quality care more affordable and accessible to all.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Dystopia: the rise of the machines, the fall of compassion\u003C\u002Fh2>\n\n\n\n\u003Cp>In this grim future, the doctor-patient connection has become a relic of the past. AI algorithms, driven by relentless optimization and cost-cutting, have replaced human physicians in nearly every aspect of healthcare. Patients are reduced to data points; their unique stories and emotional needs are ignored in favor of standardised, one-size-fits-all treatment plans. The warmth of human interaction is replaced by cold, sterile efficiency.\u003C\u002Fp>\n\n\n\n\u003Cp>Medical schools have become obsolete, as AI systems diagnose, treat, and even perform surgeries with greater accuracy and speed than any human could. The art of medicine is lost, replaced by a soulless science devoid of empathy or compassion. \u003C\u002Fp>\n\n\n\n\u003Cp>Privacy is a distant memory, as the relentless pursuit of data to fuel AI development has led to a surveillance state. Personal health information is constantly harvested and analysed, with little regard for individual consent or security. The tech giants that develop and control these AI technologies hold immense power, dictating the direction of healthcare and prioritizing their interests over patient welfare. The result is a dehumanized healthcare system where patients are mere commodities, stripped of their agency and dignity. \u003C\u002Fp>\n\n\n\n\u003Cp>The once-promising potential of AI in healthcare transforms into a nightmare where technology dehumanizes medicine and erodes trust in the system.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The middle-ground: a human-AI partnership in medicine\u003C\u002Fh2>\n\n\n\n\u003Cp>In this balanced future, the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-reasons-artificial-intelligence-wont-replace-physicians\" target=\"_blank\" rel=\"noreferrer noopener\">doctor-patient connection remains a core value\u003C\u002Fa> of healthcare, but AI plays a vital role in enhancing and expanding the capacities and reach of healthcare workers.  Algorithms have become trusted members of the medical team, sifting through mountains of data, identifying patterns, and generating insights that inform clinical decision-making.\u003C\u002Fp>\n\n\n\n\u003Cp>Society has learned both culturally and technologically to harness the power of AI effectively. Medical professionals are trained not only in traditional medical knowledge but also in the use of AI tools, ensuring they can make the most of these advancements to improve patient outcomes. Patients benefit from a healthcare system that is more efficient, accurate, and personalised, without sacrificing the personal interactions that are crucial for holistic care. Regulations evolve at a pace that keeps up with innovations, ensuring that safety, privacy, and ethical considerations are always at the forefront. This regulatory agility creates an environment where AI can thrive while maintaining public trust and protecting patient rights.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh7-us.googleusercontent.com\u002Fdocsz\u002FAD_4nXfKwEiXEIXkXLxOX8qfz2N-8vN7eGMktwHrUi9Ly1y1m7mBPMctqag-sH9SvRaVa4rYAsmeEJcJX5nEGnKeNxFfBQ243tNM2u9o8ubidAGXpQxWPeSlO2ealnvzM08CIhoyWuSdrWrLiYt5S50_JYG6o6D8?key=EcRIIpmQXyjDr5rE_ZAzpQ\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>In this balanced future, healthcare costs are optimized, and accessibility is improved without compromising quality or privacy. AI-driven efficiencies help reduce unnecessary expenses, making advanced medical care more affordable. Privacy is safeguarded through security measures and transparent practices, ensuring that patient data is used ethically and responsibly.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Backcasting: charting the path to a good future\u003C\u002Fh2>\n\n\n\n\u003Cp>To have the best achievable future where AI and human healthcare professionals work in harmony, we need to take steps today. We can determine three necessary pillars that help us save the core value of the doctor-patient connection: \u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\n\u003Cli>Highlighting the importance of human touch. Medical education must emphasize the irreplaceable value of empathy, communication, and the therapeutic relationship. Simultaneously, public awareness campaigns can help patients understand the complementary roles of AI and human providers, fostering trust and collaboration.\u003C\u002Fli>\n\n\n\n\u003Cli>Make more adapt regulations. We must engage regulators in ongoing dialogues about AI’s evolving capabilities and potential risks. This involves providing clear, accessible information about AI technologies, and creating a deeper understanding of their impact on healthcare work and patient outcomes.\u003C\u002Fli>\n\n\n\n\u003Cli>Prepare culturally. We need educational programs to boost AI literacy among both healthcare professionals and the general public. These programs should demystify AI, explaining its benefits, limitations, and applications in healthcare in an accessible manner. We need apps that encourage people to use safe AI tools, such as for health monitoring or virtual consultations. \u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">A pie in the sky is not always a bad thing\u003C\u002Fh2>\n\n\n\n\u003Cp>Don’t count your chickens before they hatch! Don’t build castles in the air! You have your head in the clouds! There are so many proverbs about the useless nature of daydreaming that many of us feel a pang of guilt when contemplating the future. However, there’s a vast difference between baseless fantasizing and realistic forward planning. \u003C\u002Fp>\n\n\n\n\u003Cp>Interestingly, on a smaller scale, we all understand this intuitively. We don’t look askance at someone who carefully plans what they need to buy for an evening dinner party. Yet, on a larger scale, we often act as if we have no influence over what the future holds.\u003C\u002Fp>\n\n\n\n\u003Cp>Structured methodologies like the one we’ve explored help us learn how to “dream well” in a way that yields achievable, valuable outcomes. These practices ensure that our visions for the future are not just imaginative but also practical and attainable.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>There’s a vast difference between baseless fantasizing and realistic forward planning. Structured methodologies help us learn how to “dream well”.\u003C\u002Fp>\n",6,57061,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33],7079,6261,521,[35,36,37,38],7973,247,7673,7963,[40,41],950,952,[],[44,45,46,47,48,49,50],1683,1707,1721,1787,1833,1837,2131,[52,14,53,54,55,56,57,58,59,60,61,62,63,64,65,66],"post-57059","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-forecast","category-future-medicine","tag-future-of-ai","tag-future-of-medicine","tag-ai-in-medicine","tag-futures-methods","project_category-medical-professionals","project_category-policy-makers",{"id":24,"alt_text":68,"caption":27,"description":27,"media_type":69,"media_details":70,"post":5,"source_url":110},"AI in medicine","image",{"width":71,"height":72,"file":73,"filesize":74,"sizes":75,"image_meta":107},6667,3750,"2024\u002F07\u002Ftmf_article_423.png",616424,{"medium":76,"large":83,"thumbnail":89,"medium_large":94,"1536x1536":95,"2048x2048":101},{"file":77,"width":78,"height":79,"mime-type":80,"filesize":81,"source_url":82},"tmf_article_423-370x208.png",370,208,"image\u002Fpng",33071,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F07\u002Ftmf_article_423-370x208.png",{"file":84,"width":85,"height":86,"mime-type":80,"filesize":87,"source_url":88},"tmf_article_423-768x432.png",768,432,76743,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F07\u002Ftmf_article_423-768x432.png",{"file":90,"width":91,"height":91,"mime-type":80,"filesize":92,"source_url":93},"tmf_article_423-150x150.png",150,12996,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F07\u002Ftmf_article_423-150x150.png",{"file":84,"width":85,"height":86,"mime-type":80,"filesize":87,"source_url":88},{"file":96,"width":97,"height":98,"mime-type":80,"filesize":99,"source_url":100},"tmf_article_423-1536x864.png",1536,864,167740,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F07\u002Ftmf_article_423-1536x864.png",{"file":102,"width":103,"height":104,"mime-type":80,"filesize":105,"source_url":106},"tmf_article_423-2048x1152.png",2048,1152,233229,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F07\u002Ftmf_article_423-2048x1152.png",{"aperture":108,"credit":27,"camera":27,"caption":27,"created_timestamp":108,"copyright":27,"focal_length":108,"iso":108,"shutter_speed":108,"title":27,"orientation":108,"keywords":109},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F07\u002Ftmf_article_423.png",{"cta_type":112,"cta_color":27,"related_posts_footer":113,"related_posts":20,"related_books":117,"subtitle":27,"key_takeaways":121},"subscribe",[114,115,116],17884,56453,56371,[118,119,120],55605,47427,24764,[122,124,126],{"title":123},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">We’re often told that daydreaming and envisioning the future is a waste of time. But this notion is misguided.\u003C\u002Fspan>\u003C\u002Fp>\n",{"title":125},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">We all instinctively plan for the future in small ways, like organizing a trip or preparing for a dinner party. This same principle can be applied to larger-scale issues, and smart planning does bring better results.\u003C\u002Fspan>\u003C\u002Fp>\n",{"title":127},"\u003Cp>\u003Cspan style=\"font-weight: 400;\">We show you a method that allows us to think “well” about the future on a larger scale so that it better meets our needs.\u003C\u002Fspan>\u003C\u002Fp>\n",{"yoast_wpseo_title":17,"yoast_wpseo_metadesc":129,"yoast_wpseo_canonical":15},"There's a vast difference between baseless fantasizing and realistic forward planning. Structured methodologies help us learn how to \"dream well\".",{"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\u002F57059",{"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=57059",[150],{"count":151,"href":152},15,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F57059\u002Frevisions",[154],{"id":155,"href":156},60689,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F57059\u002Frevisions\u002F60689",[158],{"embeddable":26,"href":159},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F57061",[161],{"href":162},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=57059",[164,167,170,173,176],{"taxonomy":165,"embeddable":26,"href":166},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=57059",{"taxonomy":168,"embeddable":26,"href":169},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=57059",{"taxonomy":171,"embeddable":26,"href":172},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=57059",{"taxonomy":174,"embeddable":26,"href":175},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=57059",{"taxonomy":177,"embeddable":26,"href":178},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=57059",[180],{"name":181,"href":182,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[184],{"id":116,"date":185,"date_gmt":186,"guid":187,"modified":189,"modified_gmt":190,"slug":191,"status":13,"type":14,"link":192,"title":193,"content":195,"excerpt":197,"author":23,"featured_media":199,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":200,"categories":201,"tags":203,"project_category":211,"contact_email_category":212,"yst_prominent_words":213,"class_list":218,"better_featured_image":228,"acf":257,"yoast_meta":273,"_links":276},"2024-06-04T09:30:00","2024-06-04T07:30:00",{"rendered":188},"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","https:\u002F\u002Fmedicalfuturist.com\u002Fwould-temperature-control-help-against-chatgpts-hallucinations",{"rendered":194},"Would Temperature Control Help Against ChatGPT’s Hallucinations?",{"rendered":196,"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",{"rendered":198,"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",56379,{"_acf_changed":20,"footnotes":27},[31,202],504,[204,205,206,207,208,209,210],7961,7725,134,7741,144,7867,7959,[40],[],[48,214,215,216,217],1979,2313,3713,4665,[219,14,53,54,55,56,57,58,220,221,222,223,224,225,226,227,65],"post-56371","category-artificial-intelligence","tag-gemini","tag-chatgpt","tag-ai","tag-large-language-models","tag-artificial-intelligence","tag-llms","tag-temperature-of-large-language-models",{"id":199,"alt_text":27,"caption":27,"description":27,"media_type":69,"media_details":229,"post":116,"source_url":256},{"width":71,"height":72,"file":230,"filesize":231,"sizes":232,"image_meta":254},"2024\u002F06\u002Ftmf_article_416-v3.png",862174,{"medium":233,"large":237,"thumbnail":241,"medium_large":245,"1536x1536":246,"2048x2048":250},{"file":234,"width":78,"height":79,"mime-type":80,"filesize":235,"source_url":236},"tmf_article_416-v3-370x208.png",24660,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-370x208.png",{"file":238,"width":85,"height":86,"mime-type":80,"filesize":239,"source_url":240},"tmf_article_416-v3-768x432.png",54565,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-768x432.png",{"file":242,"width":91,"height":91,"mime-type":80,"filesize":243,"source_url":244},"tmf_article_416-v3-150x150.png",8820,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-150x150.png",{"file":238,"width":85,"height":86,"mime-type":80,"filesize":239,"source_url":240},{"file":247,"width":97,"height":98,"mime-type":80,"filesize":248,"source_url":249},"tmf_article_416-v3-1536x864.png",125266,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-1536x864.png",{"file":251,"width":103,"height":104,"mime-type":80,"filesize":252,"source_url":253},"tmf_article_416-v3-2048x1152.png",169905,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3-2048x1152.png",{"aperture":108,"credit":27,"camera":27,"caption":27,"created_timestamp":108,"copyright":27,"focal_length":108,"iso":108,"shutter_speed":108,"title":27,"orientation":108,"keywords":255},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2024\u002F06\u002Ftmf_article_416-v3.png",{"cta_type":112,"cta_color":27,"related_posts_footer":258,"related_posts":20,"related_books":262,"subtitle":27,"key_takeaways":266},[259,260,261],56253,56163,55995,[263,264,265],24759,24762,37033,[267,269,271],{"title":268},"\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":270},"\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":272},"\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":274,"yoast_wpseo_metadesc":275,"yoast_wpseo_canonical":192},"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":277,"collection":282,"about":284,"author":286,"replies":288,"version-history":291,"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\u002F56371",{"allow":281},[136],[283],{"href":139},[285],{"href":142},[287],{"embeddable":26,"href":145},[289],{"embeddable":26,"href":290},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=56371",[292],{"count":293,"href":294},13,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F56371\u002Frevisions",[296],{"id":297,"href":298},56411,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F56371\u002Frevisions\u002F56411",[300],{"embeddable":26,"href":301},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F56379",[303],{"href":304},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=56371",[306,308,310,312,314],{"taxonomy":165,"embeddable":26,"href":307},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=56371",{"taxonomy":168,"embeddable":26,"href":309},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=56371",{"taxonomy":171,"embeddable":26,"href":311},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=56371",{"taxonomy":174,"embeddable":26,"href":313},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=56371",{"taxonomy":177,"embeddable":26,"href":315},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=56371",[317],{"name":181,"href":182,"templated":26},[319],{"id":120,"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":335,"featured_media":336,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":337,"class_list":341,"better_featured_image":344,"acf":364,"yoast_meta":384,"_links":387},"2019-09-06T22:00:04","2019-09-06T20:00:04",{"rendered":323},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=24764","2023-03-12T18:14:56","2023-03-12T17:14:56","technologies-shaping-the-future-of-pharma","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Ftechnologies-shaping-the-future-of-pharma\u002F",{"rendered":330},"How Technologies are Shaping the Future of Pharma",{"rendered":332,"protected":20},"\n\u003Cp>We designed this e-book to serve as a collection of relevant examples, best practices and exciting ideas that can help any pharmaceutical company prepare for change. Many pharma companies have been trying to hop on the “digital train”. \u003Ca href=\"https:\u002F\u002Fleanpub.com\u002Fthefutureofpharma\" target=\"_blank\" rel=\"noreferrer noopener\">This e-book\u003C\u002Fa> was meant to prove that instead of a train of innovation, stakeholders should think in terms of spaceships and while there is still time to embrace digital health and patient empowerment, those that do it faster will get exponentially ahead of their competitors.\u003C\u002Fp>\n",{"rendered":334,"protected":20},"\u003Cp>We designed this e-book to serve as a collection of relevant examples, best practices and exciting ideas that can help any pharmaceutical company prepare for […]\u003C\u002Fp>\n",10,49977,[338,339,340],1681,2349,4977,[342,327,343,54,56,57],"post-24764","type-book",{"id":336,"alt_text":27,"caption":27,"description":27,"media_type":69,"media_details":345,"post":120,"source_url":363},{"width":346,"height":347,"file":348,"filesize":349,"sizes":350,"image_meta":362},320,415,"2019\u002F09\u002Ffuture-of-pharma.png",23355,{"medium":351,"thumbnail":357},{"file":352,"width":353,"height":354,"mime-type":80,"filesize":355,"source_url":356},"future-of-pharma-320x208.png","320","208","49756","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-pharma-320x208.png",{"file":358,"width":359,"height":359,"mime-type":80,"filesize":360,"source_url":361},"future-of-pharma-150x150.png","150","21008","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-pharma-150x150.png",{"aperture":108,"credit":27,"camera":27,"caption":27,"created_timestamp":108,"copyright":27,"focal_length":108,"iso":108,"shutter_speed":108,"title":27,"orientation":108},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-pharma.png",{"leanpub_url":365,"buy_button_text":366,"preview":367},"https:\u002F\u002Fleanpub.com\u002Fthefutureofpharma?utm_source=books&utm_medium=referral","Get it on Leanpub",[368,370,372,374,376,378,380,382],{"image":369},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F1114_pharma_ebook_2022-cover-copy.png",{"image":371},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FTechnologies-Shaping-The-Future-of-Pharma-UPDATED-03.png",{"image":373},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FTechnologies-Shaping-The-Future-of-Pharma-UPDATED-04.png",{"image":375},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FTechnologies-Shaping-The-Future-of-Pharma-UPDATED-05.png",{"image":377},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FTechnologies-Shaping-The-Future-of-Pharma-UPDATED-06.png",{"image":379},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FTechnologies-Shaping-The-Future-of-Pharma-UPDATED-07.png",{"image":381},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FTechnologies-Shaping-The-Future-of-Pharma-UPDATED-08.png",{"image":383},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FTechnologies-Shaping-The-Future-of-Pharma-UPDATED-09.png",{"yoast_wpseo_title":385,"yoast_wpseo_metadesc":386,"yoast_wpseo_canonical":328},"How Technologies are Shaping the Future of Pharma - The Medical Futurist","This e-book serves as a collection of relevant examples, best practices and exciting ideas that can help pharmaceuticcal companies prepare for change.",{"self":388,"collection":393,"about":396,"author":399,"replies":402,"wp:featuredmedia":405,"wp:attachment":408,"wp:term":411,"curies":414},[389],{"href":390,"targetHints":391},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F24764",{"allow":392},[136],[394],{"href":395},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[397],{"href":398},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[400],{"embeddable":26,"href":401},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F10",[403],{"embeddable":26,"href":404},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24764",[406],{"embeddable":26,"href":407},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49977",[409],{"href":410},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24764",[412],{"taxonomy":177,"embeddable":26,"href":413},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24764",[415],{"name":181,"href":182,"templated":26},1787036487983]