{"id":619130,"date":"2024-05-02T21:00:23","date_gmt":"2024-05-02T18:00:23","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs\/"},"modified":"2024-05-02T21:00:23","modified_gmt":"2024-05-02T18:00:23","slug":"ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs\/","title":{"rendered":"#AI-powered \u2018deep medicine\u2019 could transform healthcare in the NHS"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a4e0937dd442\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a4e0937dd442\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs\/#Deep_phenotyping\" >Deep phenotyping<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs\/#Deep_learning\" >Deep learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs\/#Deep_empathy\" >Deep empathy<\/a><\/li><\/ul><\/nav><\/div>\n<p><span style=\"font-size: 16px;\">Today\u2019s NHS faces severe time constraints, with the risk of <\/span><a rel=\"nofollow noopener\" target=\"_blank\" style=\"font-size: 16px;\" href=\"https:\/\/www.independent.co.uk\/news\/uk\/liberal-democrats-royal-college-of-gps-england-people-nhs-b2326043.html\">short consultations<\/a><span style=\"font-size: 16px;\"> and concerns about the risk of misdiagnosis or delayed care. These challenges are compounded by <\/span><a rel=\"nofollow noopener\" target=\"_blank\" style=\"font-size: 16px;\" href=\"https:\/\/www.bma.org.uk\/advice-and-support\/nhs-delivery-and-workforce\/pressures\/an-nhs-under-pressure\">limited resources<\/a><span style=\"font-size: 16px;\"> and overstretched staff that results in protracted patient wait times and generic treatment strategies.<\/span><\/p>\n<div>\nStaff can operate with a surface level view of patient data, relying on basic medical histories and recent test results. This lack of comprehensive data interferes with their ability to fully understand patient needs and compromises the accuracy and individualisation of diagnoses and treatments. Such a healthcare <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>roach, characterised by these limitations and engagements, could aptly be termed \u201cshallow medicine.\u201d<\/p>\n<p>The American cardiologist and scientist <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/drerictopol.com\/\">Eric Topol<\/a> introduced the concept of \u201cdeep medicine\u201d in his 2019 book <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/drerictopol.com\/portfolio\/deep-medicine\/\">Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again<\/a>. He critiques the US\u2019s shallow medicine model, offering insights from his clinical and personal experiences.<\/p>\n<p>Deep medicine holds the potential to revolutionise medical diagnostics, the effectiveness of treatments, and operational considerations. Topol presents artificial intelligence (AI) as the transformative solution to these systemic shallow issues. He outlines what he calls the deep medicine framework as a comprehensive strategy for the incorporation of AI into different aspects of healthcare.<\/p>\n<p>The framework of deep medicine is built upon three core pillars: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.nature.com\/articles\/527S14a\">deep phenotyping<\/a>, <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Deep_learning\">deep learning<\/a>, and deep empathy. These pillars are all interconnected and adopting this framework could enhance patient care, support healthcare staff, and strengthen the entire NHS system.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Deep_phenotyping\"><\/span>Deep phenotyping<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Deep phenotyping refers to a comprehensive picture of an individual\u2019s health data across a full lifetime. A deep phenotype goes far beyond the limited data collected during a standard medical appointment or health episode. It includes things such as <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.genome.gov\/about-genomics\/fact-sheets\/Genomic-Data-Science\">a person\u2019s genetic code<\/a>, the entirety of an individual\u2019s DNA, and information about the body\u2019s microbes or microbiome.<\/p>\n<p>It encompasses what\u2019s known as the \u201cexposome,\u201d the things in the environment that a person is exposed to during life, such as air pollution. It includes markers that reveal details of the metabolic processes going on in a person\u2019s body and the proteins their body is expressing, as well as other biological measures and metrics. It comprises a person\u2019s electronic health records, including their medical history, diagnoses, treatments, and lab results.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Deep_learning\"><\/span>Deep learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The philosophy underpinning deep phenotyping is to combine this diverse data to enable more accurate and speedy diagnoses, precise and effective treatments, and to advance predictive and preventative medicine strategies. However, the sheer volume and complexity of the collected data pose significant challenges for analysing it all. This is where <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.ibm.com\/topics\/deep-learning\">deep learning<\/a> \u2014 an area of AI that seeks to simulate the decision-making power of the human brain \u2014 is so valuable. Deep learning uses an algorithm called a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.ibm.com\/topics\/neural-networks\">neural network<\/a> that uses little mathematical computers, called \u201cneurons,\u201d that are connected to one another to share and learn information.<\/p>\n<figure class=\"align-center \">\n<figure class=\"post-image post-mediaBleed aligncenter\"><img decoding=\"async\" loading=\"lazy\" sizes=\"auto, (min-width: 1466px) 754px, (max-width: 599px) 100vw, (min-width: 600px) 600px, 237px\" alt=\"CT scans of the brain.\" width=\"600\" height=\"400\" class=\"js-lazy\" src=\"https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\" srcset=\"https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=1 600w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=30&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=2 1200w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=15&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=3 1800w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=1 754w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=30&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=2 1508w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=15&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=3 2262w\"\/><figcaption><a rel=\"nofollow noopener\" target=\"_blank\" href=\"#\" data-url=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Feditorial.thenextweb.com%2Ffuture-of-work%2F2024%2F05%2F02%2Fai-powered-deep-medicine-could-transform-healthcare-in-the-nhs%2F&amp;via=thenextweb&amp;related=thenextweb&amp;text=Check out this picture on: AI could potentially improve how diagnostic tools are used. Elif Bayraktar \/ Shutterstock\" data-title=\"Share AI could potentially improve how diagnostic tools are used. Elif Bayraktar \/ Shutterstock on Twitter\" data-width=\"685\" data-height=\"500\" class=\"post-image-share popitup\" title=\"Share AI could potentially improve how diagnostic tools are used. Elif Bayraktar \/ Shutterstock on Twitter\"><i class=\"icon icon--inline icon--twitter--dark\"\/><\/a>AI could potentially improve how diagnostic tools are used. Elif Bayraktar \/ Shutterstock<\/figcaption><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\" alt=\"CT scans of the brain.\" width=\"600\" height=\"400\" class=\"\" srcset=\"https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=1 600w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=30&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=2 1200w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=15&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=3 1800w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=1 754w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=30&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=2 1508w, https:\/\/images.theconversation.com\/files\/589906\/original\/file-20240423-20-cc0qh0.jpg?ixlib=rb-4.1.0&amp;q=15&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=3 2262w\"\/><\/figure><figcaption\/><\/p>\n<\/figure>\n<p>Advances in neural network algorithms, <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/technology\/\" data-internallinksmanager029f6b8e52c=\"4\" title=\"Technology\" target=\"_blank\" rel=\"noopener\">technology<\/a>, and availability of digital data have enabled neural networks to demonstrate impressive performance. For instance, they have enabled the rapid and accurate analysis of medical images, such as X-rays and MRIs. They can generate reports and predict disease progression and outcomes for the patient.<\/p>\n<p>AI is proving valuable in drug discovery and the identification of chemical markers from the body, such as those that can signal the presence of cancer. They can control instruments used in robotic surgery. In addition, <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/chat.openai.com\/auth\/login\">AI technology like that behind ChatGPT<\/a> can process medical literature and patient records to help make complex diagnoses. They can automate writing tasks, such as note taking and data entry.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Deep_empathy\"><\/span>Deep empathy<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Integrating AI systems could help streamline operational tasks in health services like the NHS. These include bed management and hospital workflows. However, the development of AI technologies should not be haphazard \u2014 rather it needs to be targeted at real clinical needs and designed to foster better relations between patients and staff. This is the pillar of deep medicine known as deep empathy.<\/p>\n<p>Healthcare has increasingly become a discipline where the human touch, once its cornerstone, is overshadowed by a relentless pursuit of efficiency. Healthcare staff face an <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.americanprogress.org\/article\/excess-administrative-costs-burden-u-s-health-care-system\/\">increased burden<\/a> <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kingsfund.org.uk\/insight-and-analysis\/long-reads\/admin-matters-nhs-patient-care\">of administrative tasks<\/a>. This can reduce the time they devote to each patient, eroding the essence and potential benefits of compassionate care.<\/p>\n<p>Staff need the sensitivity and time to respond to the emotional and psychological needs of patients and their families. This nurtures a supportive and compassionate care environment, and strengthens the human connection at the heart of healthcare.<\/p>\n<p>AI solutions can be designed to reduce the administrative burdens for staff, opening up more opportunities for meaningful patient interaction. By removing these barriers, we allow for a greater focus on direct patient care, helping improve the quality of the service provided and, hopefully, patient satisfaction.<\/p>\n<p>There is also a transformative opportunity to rethink efficiency, putting relationships between patients and staff at the core. It envisions a future where healthcare staff excel in both technical skill and emotional intelligence, enabling them to meet the psychological needs of patients with genuine understanding and compassion.<!-- Below is The Conversation's page counter tag. Please DO NOT REMOVE. --><img decoding=\"async\" loading=\"lazy\" style=\"border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;\" alt=\"The Conversation\" width=\"1\" height=\"1\" class=\"js-lazy\" src=\"https:\/\/counter.theconversation.com\/content\/228475\/count.gif?distributor=republish-lightbox-basic\"\/><!-- End of code. If you don't see any code above, please get new code from the Advanced tab after you click the republish button. The page counter does not collect any personal data. More info: https:\/\/theconversation.com\/republishing-guidelines --><img decoding=\"async\" loading=\"lazy\" style=\"border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;\" src=\"https:\/\/counter.theconversation.com\/content\/228475\/count.gif?distributor=republish-lightbox-basic\" alt=\"The Conversation\" width=\"1\" height=\"1\" class=\"\" srcset=\"\"\/><\/p>\n<p><em><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\/profiles\/will-jones-1529237\">Will Jones<\/a>, Director of Research and Lecturer in Data <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/sciencee\/\" data-internallinksmanager029f6b8e52c=\"5\" title=\"Science\" target=\"_blank\" rel=\"noopener\">Science<\/a>, Artificial Intelligence and Modelling (DAIM), <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\/institutions\/university-of-hull-1191\">University of Hull<\/a><\/em><\/p>\n<p><em>This article is republished from <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\">The Conversation<\/a> under a Creative Commons license. Read the <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/theconversation.com\/ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs-and-reconnect-staff-with-their-patients-228475\">original article<\/a>.<\/em>\n<\/div>\n<p><script async src=\"\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/technology\/\" target=\"_blank\" rel=\"noopener\">Technology category.<\/a><\/span><\/strong>\n<\/p><\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/thenextweb.com\/news\/ai-powered-deep-medicine-could-transform-healthcare-in-the-nhs\" target=\"_blank\" rel=\"noopener\">Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today\u2019s NHS faces severe time constraints, with the risk of short consultations and concerns about the risk of misdiagnosis or delayed care. These challenges are compounded by limited resources and overstretched staff that results in protracted patient wait times and generic treatment strategies. Staff can operate with a surface level view of patient data, relying&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-619130","post","type-post","status-publish","format-standard","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/619130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=619130"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/619130\/revisions"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=619130"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=619130"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=619130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}