[{"data":1,"prerenderedAt":405},["ShallowReactive",2],{"slug-top-18-technologies-for-the-aging-populations":3},{"post":4,"relatedPosts":176,"relatedBooks":314},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":6,"modified_gmt":7,"slug":10,"status":11,"type":12,"link":13,"title":14,"content":16,"excerpt":19,"author":21,"featured_media":22,"comment_status":23,"ping_status":23,"sticky":24,"template":25,"format":26,"meta":27,"categories":28,"tags":30,"project_category":35,"contact_email_category":38,"yst_prominent_words":39,"class_list":51,"better_featured_image":65,"acf":104,"yoast_meta":120,"_links":123},51835,"2025-02-24T11:48:03","2025-02-24T10:48:03",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=51835&_wpnonce=1b6ee7b520&status=auto-draft&type=post","top-18-technologies-for-the-aging-populations","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Ftop-18-technologies-for-the-aging-populations",{"rendered":15},"Top 18 Technologies For The Aging Populations",{"rendered":17,"protected":18},"\n\u003Cp>Titled “\u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41591-023-02391-8\" target=\"_blank\" rel=\"noreferrer noopener\">Digital health for aging populations\u003C\u002Fa>”, a study has recently caught our attention for its comprehensive approach and forward-thinking vision. Conducted by Chen et al., it delves into the complex topic of how digital health technologies could assist the elderly. It stands out not just for its thorough exploration of this intricate subject matter, but also for its visionary outlook, providing a clear and understandable projection of what the future might hold.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh5.googleusercontent.com\u002Fg5O8fnvC6g_o_zkgKobvlf8IYlhRls2IrkJUPmyY1gQ82pLTkfDgGoB9DXZsaKEcawM04QpDjgvzhJydY16JChd6_9iOCZOLiLNZn34BgLUrkX_bOddswCE8uXjPZCpiJHdt8LfQBUifv8UvLIXQifw\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The study’s vision involves a network of internet-connected sensors on the body and around the home, monitoring the health conditions of older adults. These sensors would collect a wealth of data, which would then be analysed by machine learning algorithms. The goal? To coordinate with remote caregivers and autonomous wearable therapeutic devices to provide optimal healthcare.\u003C\u002Fp>\n\n\n\n\u003Cp>This vision is a compelling one, and it aligns with many of the discussions we’ve had on this platform. We’ve previously touched on similar topics, discussing the major barriers that are currently keeping seniors out of the healthcare revolution. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fsenior-health-2021\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">In our exploration of this issue\u003C\u002Fa>, we identified three cornerstones:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Targeted technological innovations\u003C\u002Fstrong>: unfortunately, few technological innovations are aimed particularly at seniors. When they are, they often come with prejudices that can limit their effectiveness. This is a significant barrier that needs to be addressed if we are to make meaningful progress in this area.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Affordability\u003C\u002Fstrong>: even when technology is designed with seniors in mind, it’s often not affordable. This creates a significant barrier to access, preventing many seniors from benefiting from these potentially life-changing technologies.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Support in implementation\u003C\u002Fstrong>: even when the technology is designed for seniors and is affordable, they often don’t receive the necessary support to use these technologies effectively. This lack of support can make it difficult for seniors to fully engage with and benefit from these technologies.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh5.googleusercontent.com\u002Faz5vL2q7Eiq9VhV3DPiusG4PBkSxFihWtx62y1FnUGnGWunzyQGgUAmudxm2THE0Rzocal8ixkiwPsznnVyF9EauXUJc3BsbHbcp51B5F4sBySSTiAD35fJZVQiZ2Va1khHOPsECA9aGpHQN6MsHqNQ\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Our takeaway from these discussions was clear: there’s a growing market for digital health technologies designed specifically for seniors. As the number of seniors grows and they require more care, the market gap expands. Therefore, providers and developers are also interested in developing digital health technologies specifically designed for them.\u003C\u002Fp>\n\n\n\n\u003Cp>However, as our healthcare systems become more advanced, the focus is shifting towards the quality of life. Living beyond 80, 90, or even 100 years is an appealing prospect, but the quality of those years matters just as much as the quantity. With life expectancies reaching well above 80 in many countries, we should concentrate more on \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-to-make-life-worth-living-over-90\u002F\">preserving physical, cognitive, and social well-being\u003C\u002Fa>, as well as preventing age-related decline.\u003C\u002Fp>\n\n\n\n\u003Cp>We’ve already seen several technological innovations that promise to help achieve these goals. These include various methods aiming to prevent muscular decline, aid our senses, and preserve mental and cognitive health. These technologies offer a glimpse of what the future could hold, and they align with the vision presented in the study by Chen et al.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F111_Failed-promises-in-digital-health.png\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The study’s main idea is commendable, as it discusses what health parameters can and should be measured in the elderly to prevent or diagnose the diseases that most often affect them. It also analyses existing technologies for these purposes. This comprehensive approach is a significant step forward in our understanding of how technology can be used to improve elderly care.\u003C\u002Fp>\n\n\n\n\u003Cp>However, we must be cautious about overloading the homes of the elderly (whether it’s an institution or their own house) with technology. This should never be the goal of healthcare, caregivers, or the elderly themselves. Instead, the focus should be on using technology to enhance care and improve quality of life, not to create additional burdens or complexities.\u003C\u002Fp>\n\n\n\n\u003Cp>As always in digital health, these technologies should serve the purpose of helping the patient and their caregiver establish a better relationship. Technology ought to serve as a facilitator of care, never as a barrier. It should be used to improve the quality of life for the elderly, helping them to live their golden years with dignity, independence, and joy.\u003C\u002Fp>\n",false,{"rendered":20,"protected":18},"\u003Cp>Technology ought to serve as a facilitator of care, never as a barrier. We must keep this in mind when thinking about digital health for seniors.\u003C\u002Fp>\n",6,24847,"closed",true,"","standard",{"_acf_changed":18,"footnotes":25},[29],496,[31,32,33,34],545,592,1055,207,[36,37],948,950,[],[40,41,42,43,44,45,46,47,48,49,50],1719,2017,2199,2613,3825,3829,4837,1571,1617,1681,1683,[52,12,53,54,55,56,57,58,59,60,61,62,63,64],"post-51835","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health-sensors-trackers","tag-sensors","tag-seniors","tag-elderly-care","tag-digital-health","project_category-developers","project_category-medical-professionals",{"id":22,"alt_text":66,"caption":25,"description":67,"media_type":68,"media_details":69,"post":102,"source_url":103},"tmf_life worth over elderly care, seniors, digital health","TMF elderly care","image",{"width":70,"height":71,"file":72,"sizes":73,"image_meta":100},1920,1080,"2019\u002F09\u002F107_How-to-make-life-worth-living-over-75-or-100_.png",{"medium":74,"large":80,"thumbnail":85,"medium_large":89,"1536x1536":90,"2048x2048":95},{"file":75,"width":76,"height":77,"mime-type":78,"source_url":79},"107_How-to-make-life-worth-living-over-75-or-100_-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F107_How-to-make-life-worth-living-over-75-or-100_-370x208.png",{"file":81,"width":82,"height":83,"mime-type":78,"source_url":84},"107_How-to-make-life-worth-living-over-75-or-100_-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F107_How-to-make-life-worth-living-over-75-or-100_-768x432.png",{"file":86,"width":87,"height":87,"mime-type":78,"source_url":88},"107_How-to-make-life-worth-living-over-75-or-100_-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F107_How-to-make-life-worth-living-over-75-or-100_-150x150.png",{"file":81,"width":82,"height":83,"mime-type":78,"source_url":84},{"file":91,"width":92,"height":93,"mime-type":78,"source_url":94},"107_How-to-make-life-worth-living-over-75-or-100_-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F107_How-to-make-life-worth-living-over-75-or-100_-1536x864.png",{"file":96,"width":97,"height":98,"mime-type":78,"source_url":99},"107_How-to-make-life-worth-living-over-75-or-100_-2048x1152.png","2048","1152","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F107_How-to-make-life-worth-living-over-75-or-100_-2048x1152.png",{"aperture":101,"credit":25,"camera":25,"caption":25,"created_timestamp":101,"copyright":25,"focal_length":101,"iso":101,"shutter_speed":101,"title":25,"orientation":101},"0",24840,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F107_How-to-make-life-worth-living-over-75-or-100_-scaled.png",{"cta_type":25,"cta_color":25,"related_books":105,"related_posts_footer":109,"related_posts":18,"subtitle":25,"key_takeaways":113},[106,107,108],24759,24765,34151,[110,111,112],51555,51443,51747,[114,116,118],{"title":115},"\u003Cp>The ultimate goal of using technology in elderly care should be to improve the quality of life, allowing them to live their later years with dignity, independence, and happiness.\u003C\u002Fp>\n",{"title":117},"\u003Cp>The future of elderly care could involve a network of internet-connected sensors monitoring health conditions, with machine learning algorithms analyzing the data to provide optimal healthcare. However, we must be cautious about overloading the homes of the elderly (whether it’s an institution or their own house) with technology.\u003C\u002Fp>\n",{"title":119},"\u003Cp>Despite the potential of these technologies, there are significant barriers to their implementation, including the lack of targeted technological innovations for seniors, affordability issues, and the need for support in implementing these technologies effectively.\u003C\u002Fp>\n",{"yoast_wpseo_title":121,"yoast_wpseo_metadesc":122,"yoast_wpseo_canonical":13},"Top 18 Technologies For The Aging Populations - The Medical Futurist","Technology ought to serve as a facilitator of care, never as a barrier. We must keep this in mind when thinking about digital health for seniors",{"self":124,"collection":130,"about":133,"author":136,"replies":139,"version-history":142,"predecessor-version":146,"wp:featuredmedia":150,"wp:attachment":153,"wp:term":156,"curies":172},[125],{"href":126,"targetHints":127},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51835",{"allow":128},[129],"GET",[131],{"href":132},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[134],{"href":135},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[137],{"embeddable":24,"href":138},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[140],{"embeddable":24,"href":141},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=51835",[143],{"count":144,"href":145},9,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51835\u002Frevisions",[147],{"id":148,"href":149},58525,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51835\u002Frevisions\u002F58525",[151],{"embeddable":24,"href":152},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F24847",[154],{"href":155},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=51835",[157,160,163,166,169],{"taxonomy":158,"embeddable":24,"href":159},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=51835",{"taxonomy":161,"embeddable":24,"href":162},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=51835",{"taxonomy":164,"embeddable":24,"href":165},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=51835",{"taxonomy":167,"embeddable":24,"href":168},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=51835",{"taxonomy":170,"embeddable":24,"href":171},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=51835",[173],{"name":174,"href":175,"templated":24},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[177],{"id":112,"date":178,"date_gmt":179,"guid":180,"modified":182,"modified_gmt":183,"slug":184,"status":11,"type":12,"link":185,"title":186,"content":188,"excerpt":190,"author":21,"featured_media":192,"comment_status":23,"ping_status":23,"sticky":24,"template":25,"format":26,"meta":193,"categories":194,"tags":196,"project_category":202,"contact_email_category":203,"yst_prominent_words":204,"class_list":210,"better_featured_image":218,"acf":252,"yoast_meta":269,"_links":272},"2023-07-27T10:00:00","2023-07-27T08:00:00",{"rendered":181},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=51747&_wpnonce=0b2557ca4d&status=auto-draft&type=post","2023-07-26T22:59:17","2023-07-26T20:59:17","generative-ai-explained-its-impact-and-future-in-healthcare","https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-ai-explained-its-impact-and-future-in-healthcare",{"rendered":187},"Generative AI Explained – Its Impact And Future In Healthcare",{"rendered":189,"protected":18},"\n\u003Cp>We have written dozens of articles about generative AI already, covering all possible angles, but just realized that we have never covered the basics, and explained what is generative AI in the first place. \u003C\u002Fp>\n\n\n\n\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp>Generative AI refers to a category of AI algorithms that look for patterns and structures in the sample data and come up with new ones. For example, it can simulate discussions and learn to find out how we, people, would be satisfied with the results. But it does it billions of times a day. So it improves at an unbelievable rate.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cp>This kind of AI can be used for a wide variety of tasks, such as creating illustrations, writing text, composing music, or generating new ideas. \u003C\u002Fp>\n\n\n\n\u003Cp>Depending on the task, generative algorithms are trained and work in different ways. There are many models and methods, but we’ll most likely regularly meet with two these days:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Generative Adversarial Networks (GANs), for image or sound generation, think of Midjourney, Blue Willow, AIVA or Loud.ly. \u003C\u002Fli>\n\n\n\n\u003Cli>And Transformers, that are behind text generators, like ChatGPT or Bard – also known as Large Language Models (or LLMs). \u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>(The Transformers-LLM relation is like the insects-beetles situation. Transformers are a type of LLM, but not all LLMs are transformers. Transformers are the most popular architecture for LLMs these days because they are very effective for natural language processing tasks, but they are not the only ones.)\u003C\u002Fp>\n\n\n\n\u003Cp>We’ve already \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-adversarial-networks-how-can-ai-learn-so-much-while-its-iq-remains-zero\" target=\"_blank\" rel=\"noreferrer noopener\">introduced how GANs work\u003C\u002Fa>, you can easily imagine it through the forger-art detective analogy. Transformers on the other hand can be best grasped as brilliant autocomplete machines: they are trained to predict what comes next based on the previously given data. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>How do they learn?\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>There are many methods to train generative AI models, and most of the now successful models use a combination of various methods.\u003C\u002Fp>\n\n\n\n\u003Cp>GANs are typically taught through unsupervised learning – which means that the AI is not learning from labelled data – there is no one showing it pictures labelled as \u003Cem>cat \u003C\u002Fem>and \u003Cem>not-cat\u003C\u002Fem>. The “supervision” in GANs comes from the adversarial process where the generator network (the forger) tries to fool the discriminator network (the art detective), and the discriminator network tries to correctly classify whether an input is real or fake. For a simpler explanation, head over to the previously linked GAN article. \u003C\u002Fp>\n\n\n\n\u003Cp>Large language models, like ChatGPT or Bard are often trained using both supervised and self-supervised learning methods. \u003C\u002Fp>\n\n\n\n\u003Cp>For instance, the GPT (Generative Pretrained Transformer) series by OpenAI is trained using a form of self-supervised learning – according to ChatGPT. The models are given a large corpus of text and learn to predict the next word in a sentence given the previous words. In this case, the “labels” are the subsequent words in the sentences themselves, so no explicit labels are needed.\u003C\u002Fp>\n\n\n\n\u003Cp>Google’s Bard on the other hand was educated through a combination of supervised and self-supervised learning, on a massive dataset of text and code, including both labeled and unlabeled data, using the PaLM 2 model.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>General-use LLMs\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>ChatGPT was the first text-generating AI algorithm that became a massive hit among everyday people, getting a hundred million users in just two months, making it the \u003Ca href=\"https:\u002F\u002Fwww.reuters.com\u002Ftechnology\u002Fchatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">fastest-growing consumer application in history\u003C\u002Fa>. Since then there are several other widely successful algorithms, like Google’s Bard and Microsoft’s Bing – the latter is also based on GPT-4 and was customised for search. \u003C\u002Fp>\n\n\n\n\u003Cp>These algorithms were not specifically trained for medical purposes and the regulations are lacking, but they \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F6-potential-medical-use-cases-for-chatgpt\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">can still be used\u003C\u002Fa> for a number of purposes even in medicine, such as writing emails or summarising research papers. \u003C\u002Fp>\n\n\n\n\u003Cp>Based on the\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-in-healthcare-what-the-science-says\u002F\" target=\"_blank\" rel=\"noreferrer noopener\"> first published studies\u003C\u002Fa>, three main areas of focus for ChatGPT emerged, namely 1. clinical use, 2. answering medical questions and assisting in education, and 3. scientific writing and research. \u003C\u002Fp>\n\n\n\n\u003Cp>This field is \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-does-gpt-4-mean-for-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">developing at breathtaking speed\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-alternatives-for-healthcare-and-research\" target=\"_blank\" rel=\"noreferrer noopener\">many alternatives are emerging\u003C\u002Fa>, both for medical and general use. The algorithms are becoming more and more versatile \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-best-chatgpt-plugins-how-to-add-browsing-learning-wolfram-and-more\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">gaining new capabilities\u003C\u002Fa>.  \u003C\u002Fp>\n\n\n\n\u003Cp>There are many open questions, but we already \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhats-next-for-chatgpt-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">have some answers\u003C\u002Fa> as well, such as LLMs are not becoming authors in scientific papers, and that medical alternatives will arrive soon. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Large language models specifically trained for medicine\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Given the potential price of mistakes in healthcare, using just any LLM is a no-go for many tasks. You don’t want a diagnostic aid that generates answers from thin air every now and then. Here is where specialised algorithms enter the arena.\u003C\u002Fp>\n\n\n\n\u003Cp>As of now, the most advanced contestant is Google’s Med-PaLM 2. We introduced it \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedpalm-new-ai-medical-chatbots-will-soon-be-better-than-waiting-for-a-doctor\" target=\"_blank\" rel=\"noreferrer noopener\">in a detailed post\u003C\u002Fa> earlier and discussed why getting help from a medical chatbot as the first line of contact might soon become a lower-risk option than waiting for a doctor. \u003C\u002Fp>\n\n\n\n\u003Cp>A lot has happened in the past 6 months, and Google recently announced how much their medical LLM improved. \u003C\u002Fp>\n\n\n\n\u003Cp>A new study published in Nature revealed that Med-PaLM 2 answered medically related questions with 92.6% accuracy – \u003Ca href=\"https:\u002F\u002Fwww.mobihealthnews.com\u002Fnews\u002Fgoogles-medical-llm-proves-increase-accuracy\" target=\"_blank\" rel=\"noreferrer noopener\">mobihealthnews reported\u003C\u002Fa>. Although \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41586-023-06291-2\" target=\"_blank\" rel=\"noreferrer noopener\">the detailed data shows\u003C\u002Fa> that MedPaLM still has areas in which it needs to improve, the results are nevertheless impressive. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Flh4.googleusercontent.com\u002Fa8SJjhHn1nhUXyQkbrjVCEukkUKRtpxvtYF1NapXmqJyDIs5fqd0QzAFtfQ0S57KpIaZzKCJh5JY9gjY5xzd7PJxJXWDryqK04Cn-LRUFGdoIc7j_R3luEIIwakpPPFjC4rKxUcWfwsTx7P8pNOZOzY\" alt=\"\"\u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cstrong>Generative AI in practice\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Medical LLMs are not yet widely available, Med-PaLM will be released for a select group of users soon and is also reported to already be in use by Mayo Clinics. However, many generative AI tools are available for everyone and can bring practical benefits to healthcare professionals. Let’s see a few existing use cases!\u003C\u002Fp>\n\n\n\n\u003Cp>In this article, we introduced \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-ai-tools-that-could-help-build-a-medical-practice\" target=\"_blank\" rel=\"noreferrer noopener\">5 AI tools that can help build a medical practice\u003C\u002Fa>, by now you could find another 50, from \u003Ca href=\"https:\u002F\u002Fzapier.com\u002Fblog\u002Fbest-ai-website-builder\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">website builders\u003C\u002Fa> to \u003Ca href=\"https:\u002F\u002Fpenji.co\u002Fai-presentation\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">presentation designers\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Generative AI can also be used to come up with new ideas or inspirations for design processes, from suggesting brainstorming techniques to listing ideas. We also used it to \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwe-used-midjourney-to-design-digital-health-technologies\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">design digital health technologies\u003C\u002Fa> – an interesting, but not very fruitful venture. \u003C\u002Fp>\n\n\n\n\u003Cp>Digital avatars also belong to the realm of generative AI, The Medical Futurist already \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fme-and-my-digital-twin-i-have-a-brand-new-deepfake-avatar\" target=\"_blank\" rel=\"noreferrer noopener\">has a deep fake twin\u003C\u002Fa>, also \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=JCkI4y8vdGY&t=43s\" target=\"_blank\" rel=\"noreferrer noopener\">featured in this video\u003C\u002Fa>. These avatars are yet too uncanny to use in patient-facing roles – anyone would find a written note from the doctor more assuring than a message delivered by an unblinking synthetic human. \u003C\u002Fp>\n\n\n\n\u003Cp>On the other hand, such video-doctors could tirelessly deliver professional training to colleagues, instead of someone spending hundreds of hours in front of cameras for recording the same material.\u003C\u002Fp>\n\n\n\n\u003Cp>Many free AI tools are just as easy to use as an app on our phones or laptops – it just needs a little practice. We encourage every healthcare professional to play with these algorithms \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhere-is-how-you-get-friendly-with-a-i-before-it-gets-to-the-office\" target=\"_blank\">to become friends \u003C\u002Fa>before they arrive at the office. Giving a little time to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fprompt-engineering-11-tips-to-craft-great-chatgpt-prompts\u002F\" target=\"_blank\">master our prompt engineering skills\u003C\u002Fa> – how to ask questions efficiently – will deliver a massive payback in the future. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>What’s next?\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>The Medical Futurist summarized \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhats-next-for-ai-in-healthcare-in-2023\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">what we can expect from AI in healthcare\u003C\u002Fa> in the coming period. On top of the list is the birth of proper regulatory frameworks, specialty-based AI recommendations and guidelines, and seeing yet undiscovered medical areas where AI can assist us. For a thorough but gentle introduction to the AI era, I recommend our \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.thinkific.com\u002Fcourses\u002Fintroduction-to-artificial-intelligence-in-medicine-and-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">Introduction to Artificial Intelligence In Medicine And Healthcare course\u003C\u002Fa>, which was recently updated with a bonus chapter. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>These skills are slowly becoming more and more necessary. Multi-modal LLMs – algorithms that will be able to analyse not just text, but all content formats, from images to sounds to videos – will arrive\u003C\u002Fstrong>. We need to\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fno-ai-wont-kill-creativity\" target=\"_blank\"> find our creativity\u003C\u002Fa> in this new world, and without a working knowledge, both creative and cognitive professionals will be left behind.\u003C\u002Fp>\n",{"rendered":191,"protected":18},"\u003Cp>Progress happens with breathtaking speed, and generative AI is the present, not the future anymore.\u003C\u002Fp>\n",51765,{"_acf_changed":18,"footnotes":25},[195],504,[197,198,199,200,201],7479,7671,7741,7847,7849,[37],[],[205,206,207,208,209],2313,2689,1723,1833,1883,[211,12,53,54,55,56,57,212,213,214,215,216,217,64],"post-51747","category-artificial-intelligence","tag-gan","tag-ai-in-healthcare","tag-large-language-models","tag-generative-ai-in-medicine","tag-transformers",{"id":192,"alt_text":25,"caption":25,"description":25,"media_type":68,"media_details":219,"post":112,"source_url":251},{"width":220,"height":221,"file":222,"filesize":223,"sizes":224,"image_meta":249},1980,1114,"2023\u002F07\u002Ftmf_article_380.png",691810,{"medium":225,"large":231,"thumbnail":237,"medium_large":242,"1536x1536":243},{"file":226,"width":227,"height":228,"mime-type":78,"filesize":229,"source_url":230},"tmf_article_380-370x208.png",370,208,49090,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-370x208.png",{"file":232,"width":233,"height":234,"mime-type":78,"filesize":235,"source_url":236},"tmf_article_380-768x432.png",768,432,140953,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-768x432.png",{"file":238,"width":239,"height":239,"mime-type":78,"filesize":240,"source_url":241},"tmf_article_380-150x150.png",150,21178,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-150x150.png",{"file":232,"width":233,"height":234,"mime-type":78,"filesize":235,"source_url":236},{"file":244,"width":245,"height":246,"mime-type":78,"filesize":247,"source_url":248},"tmf_article_380-1536x864.png",1536,864,368034,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380-1536x864.png",{"aperture":101,"credit":25,"camera":25,"caption":25,"created_timestamp":101,"copyright":25,"focal_length":101,"iso":101,"shutter_speed":101,"title":25,"orientation":101,"keywords":250},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002Ftmf_article_380.png",{"cta_type":253,"cta_color":25,"related_books":254,"related_posts_footer":258,"related_posts":18,"subtitle":25,"key_takeaways":262},"subscribe",[255,256,257],24762,30419,24764,[259,260,261],33587,51061,36407,[263,265,267],{"title":264},"\u003Cp>Generative AI involves algorithms that can identify patterns and structures within data and generate new ones.\u003C\u002Fp>\n",{"title":266},"\u003Cp>It has significant potential in healthcare and is likely to become integral in future healthcare practices sooner than most of us would have thought a few months ago.\u003C\u002Fp>\n",{"title":268},"\u003Cp>Medical-specific models are on the horizon and are doing exceptionally well\u003C\u002Fp>\n",{"yoast_wpseo_title":270,"yoast_wpseo_metadesc":271,"yoast_wpseo_canonical":185},"Generative AI Explained - Its Impact And Future In Healthcare","Generative AI has arrived, the first large language models specifically trained for medicine are in sight, and are doing exceptionally well.",{"self":273,"collection":278,"about":280,"author":282,"replies":284,"version-history":287,"predecessor-version":291,"wp:featuredmedia":295,"wp:attachment":298,"wp:term":301,"curies":312},[274],{"href":275,"targetHints":276},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51747",{"allow":277},[129],[279],{"href":132},[281],{"href":135},[283],{"embeddable":24,"href":138},[285],{"embeddable":24,"href":286},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=51747",[288],{"count":289,"href":290},10,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51747\u002Frevisions",[292],{"id":293,"href":294},51795,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F51747\u002Frevisions\u002F51795",[296],{"embeddable":24,"href":297},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F51765",[299],{"href":300},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=51747",[302,304,306,308,310],{"taxonomy":158,"embeddable":24,"href":303},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=51747",{"taxonomy":161,"embeddable":24,"href":305},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=51747",{"taxonomy":164,"embeddable":24,"href":307},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=51747",{"taxonomy":167,"embeddable":24,"href":309},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=51747",{"taxonomy":170,"embeddable":24,"href":311},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=51747",[313],{"name":174,"href":175,"templated":24},[315],{"id":108,"date":316,"date_gmt":317,"guid":318,"modified":320,"modified_gmt":321,"slug":322,"status":11,"type":323,"link":324,"title":325,"content":327,"excerpt":329,"author":21,"featured_media":331,"comment_status":23,"ping_status":23,"template":25,"yst_prominent_words":332,"class_list":333,"better_featured_image":336,"acf":354,"yoast_meta":374,"_links":377},"2021-04-29T10:56:15","2021-04-29T08:56:15",{"rendered":319},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=34151","2023-03-12T17:57:15","2023-03-12T16:57:15","top-20-digital-health-trends-for-the-near-future","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Ftop-20-digital-health-trends-for-the-near-future\u002F",{"rendered":326},"Top 20 Digital Health Trends For The Near Future",{"rendered":328,"protected":18},"\n\u003Cp>Digital technology could help transform unsustainable healthcare systems, provide cheaper, faster, and more effective solutions for diseases – and could lead to healthier individuals living in healthier communities.\u003C\u002Fp>\n\n\n\n\u003Cp>In this book, we analyze the top 20 trends shaping the future of healthcare, and what they all look like in practice.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003C\u002Fp>\n",{"rendered":330,"protected":18},"\u003Cp>Digital technology could help transform unsustainable healthcare systems, provide cheaper, faster, and more effective solutions for diseases – and could lead to healthier individuals living […]\u003C\u002Fp>\n",49959,[50],[334,323,335,54,56,57],"post-34151","type-book",{"id":331,"alt_text":25,"caption":25,"description":25,"media_type":68,"media_details":337,"post":108,"source_url":353},{"width":338,"height":339,"file":340,"filesize":341,"sizes":342,"image_meta":352},320,415,"2021\u002F04\u002Ftop-20-digital-health-trends.png",21180,{"medium":343,"thumbnail":348},{"file":344,"width":345,"height":77,"mime-type":78,"filesize":346,"source_url":347},"top-20-digital-health-trends-320x208.png","320","40369","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftop-20-digital-health-trends-320x208.png",{"file":349,"width":87,"height":87,"mime-type":78,"filesize":350,"source_url":351},"top-20-digital-health-trends-150x150.png","21972","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftop-20-digital-health-trends-150x150.png",{"aperture":101,"credit":25,"camera":25,"caption":25,"created_timestamp":101,"copyright":25,"focal_length":101,"iso":101,"shutter_speed":101,"title":25,"orientation":101},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002Ftop-20-digital-health-trends.png",{"buy_button_text":355,"leanpub_url":356,"preview":357},"Get in on Leanpub","https:\u002F\u002Fleanpub.com\u002Ftop-20-digital-health-trends",[358,360,362,364,366,368,370,372],{"image":359},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-01.png",{"image":361},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-03.png",{"image":363},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-04.png",{"image":365},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-05.png",{"image":367},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-06.png",{"image":369},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-07.png",{"image":371},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-08.png",{"image":373},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F04\u002F0428_top20_digital_health_trends-09.png",{"yoast_wpseo_title":375,"yoast_wpseo_metadesc":376,"yoast_wpseo_canonical":324},"Top 20 Digital Health Trends For The Near Future - The Medical Futurist","Digital Health Trends: In this book, we analyze the top 20 trends shaping the future of healthcare, and what they all look like in practice.",{"self":378,"collection":383,"about":386,"author":389,"replies":391,"wp:featuredmedia":394,"wp:attachment":397,"wp:term":400,"curies":403},[379],{"href":380,"targetHints":381},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F34151",{"allow":382},[129],[384],{"href":385},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[387],{"href":388},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[390],{"embeddable":24,"href":138},[392],{"embeddable":24,"href":393},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=34151",[395],{"embeddable":24,"href":396},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49959",[398],{"href":399},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=34151",[401],{"taxonomy":170,"embeddable":24,"href":402},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=34151",[404],{"name":174,"href":175,"templated":24},1789727271061]