{"id":10927,"date":"2024-03-25T10:37:37","date_gmt":"2024-03-25T10:37:37","guid":{"rendered":"https:\/\/dailyai.com\/?p=10927"},"modified":"2024-03-28T09:32:06","modified_gmt":"2024-03-28T09:32:06","slug":"ai-tool-creates-digital-twins-to-predict-future-patient-health","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/","title":{"rendered":"AI-verkt\u00f8y skaper digitale tvillinger for \u00e5 forutsi fremtidig pasienthelse"},"content":{"rendered":"

Forskere i Storbritannia testet et AI-verkt\u00f8y kalt Foresight, som skaper digitale tvillinger av pasienter for \u00e5 forutsi fremtidige helse- og behandlingsresultater.<\/strong><\/p>\n

Ideen om \u00e5 skape digitale tvillinger i ulike bransjer gj\u00f8r det mulig for ingeni\u00f8rer \u00e5 teste systemer i en simulering f\u00f8r de tas i bruk i den fysiske verden. AI-verkt\u00f8y som Foresight<\/a> gj\u00f8r n\u00e5 dette mulig for helsepersonell.<\/p>\n

Hver gang en pasient bes\u00f8ker en helsearbeider, legges det til informasjon i den elektroniske pasientjournalen (EPJ). Noen av disse opplysningene er strukturerte (alder, kj\u00f8nn, etnisitet), men de fleste er ustrukturerte, for eksempel testresultater eller notater som legen kan gj\u00f8re.<\/p>\n

Foresight bruker en GPT-basert modell til \u00e5 omdanne disse dataene til en modell, eller digital tvilling, av pasienten. Fordi Foresight er trent p\u00e5 store mengder data fra andre pasienters EPJ-er, kan den deretter forutsi helseutfall, for eksempel hva slags sykdommer en pasient sannsynligvis vil utvikle, eller hvordan pasienten vil reagere p\u00e5 en bestemt type behandling.<\/p>\n

James Teo, professor ved King's College Hospital og medforfatter av studien, forklarte betydningen av dette. Teo sa p\u00e5 X: \"I motsetning til LLM-er som bare forutsier det neste ordet, forutser Foresight mulige fremtider for pasienter, og representerer mulige multivers for \u00e5 forst\u00e5 sykdommer.\"<\/p>\n

Man kan ta en pasients EPJ og simulere flere versjoner av pasienten for \u00e5 forutsi helseforl\u00f8pet deres. Tradisjonelt sett har en lege m\u00e5ttet lese pasientens EPJ, bestemme seg for et behandlingsalternativ og deretter evaluere resultatene etter en tid for \u00e5 overv\u00e5ke behandlingens effektivitet.<\/p>\n

Med Foresight kan legen simulere flere potensielle behandlinger, og modellen kan forutse kortsiktige og langsiktige resultater av hver behandling. Dette er en langt mer kostnadseffektiv tiln\u00e6rming, og pasienten slipper \u00e5 oppleve at mange leger m\u00e5 ty til \"la oss pr\u00f8ve dette\".<\/p>\n

\"\"
CogStack henter inn EPJ-data, MedCAT kommenterer dem, Foresight Core er en dypl\u00e6ringsmodell for biomedisinsk begrepsmodellering, og Foresight-nettapplikasjonen gj\u00f8r det mulig \u00e5 interagere med den trente modellen. Kilde: The Lancet Digital Health: The Lancet Digital Health<\/figcaption><\/figure>\n

Resultater<\/h2>\n

Studien, publisert i The Lancet Digital Health<\/a>I en artikkel i Foresight forklarte forskerne hvordan de trente opp tre ulike Foresight-modeller ved hjelp av sykehusdatasett fra to britiske sykehus og et offentlig tilgjengelig datasett i USA, med til sammen 811 336 pasienter.<\/p>\n

Foresight fikk i oppgave \u00e5 velge den lidelsen en pasient mest sannsynlig ville utvikle fra en liste med 10 mulige lidelser. Den foruts\u00e5 den neste lidelsen i 68% og 76% av tilfellene ved bruk av de to britiske datasettene, og i 88% av tilfellene ved bruk av amerikanske data.<\/p>\n

Da Foresight fikk i oppgave \u00e5 forutsi det neste nye biomedisinske \"konseptet\", som kan v\u00e6re en lidelse, et symptom, et tilbakefall eller et medikament, oppn\u00e5dde Foresight en presisjon p\u00e5 henholdsvis 80%, 81% og 91% ved bruk av datasettene fra Storbritannia og USA.<\/p>\n

Variasjonen i ytelse viser hvor avhengig AI-verkt\u00f8yene er av \u00e5 ha data av god kvalitet.<\/p>\n

Selv om denne anvendelsen av kunstig intelligens er spennende, peker forskerne p\u00e5 flere utfordringer som m\u00e5 overvinnes. To eksempler er \u00e5 finne m\u00e5ter \u00e5 f\u00e5 modellen til \u00e5 veie nye behandlinger og intervensjoner riktig, eller \u00e5 evaluere betydningen av sannsynlighet i forhold til hvor mye det haster og hvilke konsekvenser det har.<\/p>\n

Forskerne arbeider med \u00e5 utvikle Foresight 2, som de sier vil v\u00e6re en mer n\u00f8yaktig modell.<\/p>\n

Med nye legemiddeloppdagelser og konsepter som pasientmodellering, simulering og prognoser kommer kunstig intelligens til \u00e5 f\u00e5 en betydelig innvirkning p\u00e5 kvaliteten p\u00e5 helsetjenestene vi f\u00e5r.<\/p>","protected":false},"excerpt":{"rendered":"

Forskere i Storbritannia har testet et AI-verkt\u00f8y kalt Foresight, som skaper digitale tvillinger av pasienter for \u00e5 forutse fremtidige helse- og behandlingsresultater. Ideen med \u00e5 skape digitale tvillinger i ulike bransjer gj\u00f8r det mulig for ingeni\u00f8rer \u00e5 teste systemer i en simulering f\u00f8r de tas i bruk i den fysiske verden. AI-verkt\u00f8y som Foresight gj\u00f8r n\u00e5 dette mulig for helsepersonell. Hver gang en pasient bes\u00f8ker en helsearbeider, legges det inn informasjon i pasientens elektroniske pasientjournal (EPJ). Noen av disse dataene er strukturerte (alder, kj\u00f8nn, etnisitet), men de fleste er ustrukturerte, som for eksempel testresultater eller notater en lege kan gj\u00f8re.<\/p>","protected":false},"author":6,"featured_media":10934,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[204],"class_list":["post-10927","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-healthcare"],"yoast_head":"\nAI tool creates digital twins to predict future patient health | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI tool creates digital twins to predict future patient health | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers in the UK tested an AI tool called Foresight that creates digital twins of patients to forecast future health and treatment outcomes. 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