{"id":9165,"date":"2024-01-12T19:45:55","date_gmt":"2024-01-12T19:45:55","guid":{"rendered":"https:\/\/dailyai.com\/?p=9165"},"modified":"2024-01-12T19:49:34","modified_gmt":"2024-01-12T19:49:34","slug":"google-research-healthcare-llm-excels-doctors-in-key-areas","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2024\/01\/google-research-healthcare-llm-excels-doctors-in-key-areas\/","title":{"rendered":"Google Research Healthcare LLM utm\u00e4rker l\u00e4kare inom viktiga omr\u00e5den"},"content":{"rendered":"<p><b>Googles AI-system, som tr\u00e4nats f\u00f6r att genomf\u00f6ra medicinska intervjuer, \u00f6vertr\u00e4ffar m\u00e4nskliga l\u00e4kare p\u00e5 omr\u00e5den som r\u00f6r bem\u00f6tande och diagnostisk noggrannhet.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Utvecklad av team vid DeepMind och Google Research och f\u00f6r n\u00e4rvarande <\/span><a href=\"https:\/\/arxiv.org\/pdf\/2401.05654.pdf\"><span style=\"font-weight: 400;\">publicerad p\u00e5 ArXiv<\/span><\/a><span style=\"font-weight: 400;\">Chatboten, som kallas Articulate Medical Intelligence Explorer (AMIE), utm\u00e4rkte sig bland annat genom att diagnostisera andnings- och kardiovaskul\u00e4ra tillst\u00e5nd.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den matchade eller till och med \u00f6vertr\u00e4ffade legitimerade prim\u00e4rv\u00e5rdsl\u00e4kares f\u00f6rm\u00e5ga att samla in patientinformation under medicinska intervjuer och fick h\u00f6gre po\u00e4ng i empati.<\/span><\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Vi \u00e4r glada \u00f6ver att kunna presentera v\u00e5r nya forskningsrapport om AMIE (Articulate Medical Intelligence Explorer), ett steg mot konversationsbaserad diagnostisk AI genom <a href=\"https:\/\/twitter.com\/GoogleAI?ref_src=twsrc%5Etfw\">@GoogleAI<\/a> <a href=\"https:\/\/twitter.com\/GoogleHealth?ref_src=twsrc%5Etfw\">@GoogleH\u00e4lsa<\/a> <a href=\"https:\/\/twitter.com\/GoogleDeepMind?ref_src=twsrc%5Etfw\">@GoogleDeepMind<\/a><a href=\"https:\/\/t.co\/KIl1cYjgWO\">https:\/\/t.co\/KIl1cYjgWO<\/a> <a href=\"https:\/\/t.co\/JcPAiNcPgJ\">pic.twitter.com\/JcPAiNcPgJ<\/a><\/p>\n<p>- Mike Schaekermann (@HardyShakerman) <a href=\"https:\/\/twitter.com\/HardyShakerman\/status\/1745635460334993439?ref_src=twsrc%5Etfw\">12 januari 2024<\/a><\/p><\/blockquote>\n<p><script src=\"https:\/\/platform.twitter.com\/widgets.js\" async=\"\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">En av de st\u00f6rsta utmaningarna med att utveckla AMIE var bristen p\u00e5 verkliga medicinska konversationer som tr\u00e4ningsdata.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">F\u00f6r att l\u00f6sa detta har teamet p\u00e5 Google Health, inklusive AI-forskaren Vivek Natarajan, tagit fram en metod som g\u00f6r det m\u00f6jligt f\u00f6r chatboten att delta i simulerade \"konversationer\".\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI:n tr\u00e4nades i att spela rollerna som patient, empatisk l\u00e4kare och kritiker som utv\u00e4rderar interaktionen mellan l\u00e4kare och patient.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I tester med 20 sk\u00e5despelare som utbildats f\u00f6r att simulera patienter och 20 legitimerade l\u00e4kare, matchade eller \u00f6vertr\u00e4ffade AMIE konsekvent l\u00e4karnas diagnostiska noggrannhet inom sex medicinska specialiteter.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den \u00f6vertr\u00e4ffade l\u00e4karna i 24 av 26 kvalitetskriterier f\u00f6r samtal, som artighet och f\u00f6rklaring av tillst\u00e5nd och behandlingar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Alan Karthikesalingam, klinisk forskare vid Google Health i London och medf\u00f6rfattare till studien, konstaterade: \"S\u00e5vitt vi vet \u00e4r det h\u00e4r f\u00f6rsta g\u00e5ngen som ett AI-system f\u00f6r konversation n\u00e5gonsin har utformats optimalt f\u00f6r diagnostisk dialog och f\u00f6r att ta upp den kliniska anamnesen.\"\u00a0<\/span><\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Vi \u00e4r glada att kunna presentera AMIE (Articulate Medical Intelligence Explorer), v\u00e5r forsknings-LLM f\u00f6r diagnostiska samtal. AMIE \u00f6vertr\u00e4ffade prim\u00e4rv\u00e5rdsl\u00e4kare i samtalskvalitet och diagnostisk noggrannhet i en randomiserad studie i stil med \"virtuell OSCE\". F\u00f6rtryck \u27a1\ufe0f <a href=\"https:\/\/t.co\/XZizS9PtDG\">https:\/\/t.co\/XZizS9PtDG<\/a> (1\/7) <a href=\"https:\/\/t.co\/3t8hTkLmO9\">pic.twitter.com\/3t8hTkLmO9<\/a><\/p>\n<p>- Alan Karthikesalingam (@alan_karthi) <a href=\"https:\/\/twitter.com\/alan_karthi\/status\/1745628728040853823?ref_src=twsrc%5Etfw\">12 januari 2024<\/a><\/p><\/blockquote>\n<p><script src=\"https:\/\/platform.twitter.com\/widgets.js\" async=\"\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">Karthikesalingam betonar dock att AMIE fortfarande \u00e4r experimentellt och inte har testats p\u00e5 riktiga patienter, utan endast p\u00e5 sk\u00e5despelare som portr\u00e4tterar fiktiva men \u00e4nd\u00e5 rimliga medicinska tillst\u00e5nd.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Hur studien fungerade<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">I studien \"Towards Conversational Diagnostic AI\" introduceras AMIE, en LLM-utbildning utformad f\u00f6r interaktioner inom medicinsk diagnostik.\u00a0<\/span><\/p>\n<p>H\u00e4r finns mer information om hur det fungerar:<\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Utveckling av AMIE<\/b><span style=\"font-weight: 400;\">: Articulate Medical Intelligence Explorer (AMIE) \u00e4r ett AI-system som bygger p\u00e5 en Large Language Model (LLM) skapad av Google. Det \u00e4r optimerat f\u00f6r diagnostisk dialog i medicinska sammanhang. AMIE har utformats f\u00f6r att efterlikna den komplexa processen med klinisk anamnesupptagning och diagnostiska resonemang.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Simulerad dialogtr\u00e4ning<\/b><span style=\"font-weight: 400;\">: Forskarna utvecklade en ny sj\u00e4lvspelande simulerad milj\u00f6 p\u00e5 grund av bristen p\u00e5 verkliga medicinska samtal f\u00f6r utbildning. Detta gjorde det m\u00f6jligt f\u00f6r AMIE att delta i simulerade dialoger och spela olika roller (patient, l\u00e4kare, kritiker) f\u00f6r att f\u00f6rb\u00e4ttra inl\u00e4rningen. Dessa dialoger omfattade en rad olika medicinska tillst\u00e5nd, specialiteter och sammanhang.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Finjustering av instruktioner och strategi f\u00f6r resonemang i kedjan<\/b><span style=\"font-weight: 400;\">: AMIE finjusterade instruktionerna med hj\u00e4lp av olika verkliga dataset, inklusive medicinska fr\u00e5gor och svar, resonemang, sammanfattningar och dialogdata. En resonemangskedjestrategi innebar att man analyserade patientinformation, formulerade svar och \u00e5tg\u00e4rder och f\u00f6rfinade svaren baserat p\u00e5 den aktuella konversationen.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>OSCE-studie (Objective Structured Clinical Examination) p\u00e5 distans<\/b><span style=\"font-weight: 400;\">: Forskarna genomf\u00f6rde en randomiserad, dubbelblind crossover-studie d\u00e4r AMIE j\u00e4mf\u00f6rdes med prim\u00e4rv\u00e5rdsl\u00e4kare (PCP). I studien anv\u00e4ndes textbaserade konsultationer med 149 simulerade patienter som portr\u00e4tterades av sk\u00e5despelare i olika kliniska scenarier. B\u00e5de specialistl\u00e4karna och patientsk\u00e5despelarna bed\u00f6mde AMIE:s och PCP:s prestationer.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Utv\u00e4rdering och resultat<\/b><span style=\"font-weight: 400;\">: Utv\u00e4rderingen fokuserade p\u00e5 diagnostisk noggrannhet, behandlingsresonemang, kommunikationsf\u00f6rm\u00e5ga och empati. AMIE uppvisade \u00f6verl\u00e4gsna resultat j\u00e4mf\u00f6rt med PCP:s inom flera omr\u00e5den, bland annat diagnostisk noggrannhet och empati.\u00a0<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Forskarna varnar f\u00f6r att dessa resultat b\u00f6r tolkas f\u00f6rsiktigt f\u00f6r tillf\u00e4llet och noterar studiens begr\u00e4nsningar, s\u00e5som anv\u00e4ndningen av ett textchattgr\u00e4nssnitt och bristen p\u00e5 patientinteraktioner i den verkliga v\u00e4rlden.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Det inneb\u00e4r dock ett framsteg mot att utveckla AI-system som kan genomf\u00f6ra medicinska intervjuer och diagnostiska dialoger.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Generativ AI inom sjukv\u00e5rden har varit ett omr\u00e5de med enorma framg\u00e5ngar, med modeller som framg\u00e5ngsrikt <\/span><a href=\"https:\/\/dailyai.com\/sv\/2023\/12\/mit-researchers-identify-new-class-of-antibiotics-using-ai\/\"><span style=\"font-weight: 400;\">hitta nya antibiotika<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/dailyai.com\/sv\/2023\/12\/researchers-use-ai-assisted-colonoscopy-process-to-boost-polyp-identification\/\"><span style=\"font-weight: 400;\">f\u00f6rb\u00e4ttra koloskopier<\/span><\/a><span style=\"font-weight: 400;\">, och <\/span><a href=\"https:\/\/dailyai.com\/sv\/2024\/01\/nvidia-expands-its-offerings-of-drug-discovery-models-through-bionemo\/\"><span style=\"font-weight: 400;\">simulering av interaktioner<\/span><\/a><span style=\"font-weight: 400;\"> mellan f\u00f6reningar och biologiska processer.<\/span><\/p>\n<p>Kan AI-modeller nu ocks\u00e5 anta patientinriktade roller?<\/p>","protected":false},"excerpt":{"rendered":"<p>Googles AI-system, som tr\u00e4nats f\u00f6r att genomf\u00f6ra medicinska intervjuer, \u00f6vertr\u00e4ffar m\u00e4nskliga l\u00e4kare inom omr\u00e5den som r\u00f6r patientbem\u00f6tande och diagnostisk noggrannhet.  Chatboten, som utvecklats av team p\u00e5 DeepMind och Google Research och f\u00f6r n\u00e4rvarande publiceras p\u00e5 ArXiv, heter Articulate Medical Intelligence Explorer (AMIE) och utm\u00e4rkte sig bland annat n\u00e4r det g\u00e4llde att diagnostisera andningsbesv\u00e4r och kardiovaskul\u00e4ra tillst\u00e5nd.  Den matchade eller till och med \u00f6vertr\u00e4ffade legitimerade prim\u00e4rv\u00e5rdsl\u00e4kare n\u00e4r det g\u00e4llde att samla in patientinformation under medicinska intervjuer och fick h\u00f6gre po\u00e4ng i empati. Vi \u00e4r glada \u00f6ver att presentera v\u00e5r nya forskningsrapport om AMIE (Articulate Medical Intelligence Explorer), ett steg mot diagnostisk AI f\u00f6r konversationer av @GoogleAI @GoogleHealth @GoogleDeepMindhttps:\/\/t.co\/KIl1cYjgWO pic.twitter.com\/JcPAiNcPgJ - Mike Schaekermann (@HardyShakerman) januari<\/p>","protected":false},"author":2,"featured_media":9168,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[147,437],"class_list":["post-9165","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-deepmind","tag-google-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google Research healthcare LLM excels doctors in key areas | DailyAI<\/title>\n<meta name=\"description\" content=\"Google&#039;s AI system, trained to conduct 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