{"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\/da\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/","title":{"rendered":"AI-v\u00e6rkt\u00f8j skaber digitale tvillinger til at forudsige patienters fremtidige helbred"},"content":{"rendered":"

Forskere i Storbritannien testede et AI-v\u00e6rkt\u00f8j kaldet Foresight, som skaber digitale tvillinger af patienter for at forudsige fremtidige sundheds- og behandlingsresultater.<\/strong><\/p>\n

Ideen om at skabe digitale tvillinger i forskellige brancher giver ingeni\u00f8rer mulighed for at teste systemer i en simulering, f\u00f8r de implementeres i den fysiske verden. AI-v\u00e6rkt\u00f8jer som Fremsyn<\/a> g\u00f8r det nu muligt for sundhedspersonale.<\/p>\n

Hver gang en patient bes\u00f8ger en sundhedsplejerske, tilf\u00f8jes der oplysninger til deres elektroniske patientjournal (EHR). Nogle af disse data er strukturerede (alder, k\u00f8n, etnicitet), men de fleste er ustrukturerede, som f.eks. testresultater eller notater, som en l\u00e6ge kan g\u00f8re.<\/p>\n

Foresight bruger en GPT-baseret model til at omdanne disse data til en model, eller digital tvilling, af patienten. Fordi Foresight er tr\u00e6net p\u00e5 store m\u00e6ngder af andre patienters EPJ-data, kan den derefter forudsige sundhedsresultater som f.eks. de typer sygdomme, en patient sandsynligvis vil udvikle, eller deres reaktion p\u00e5 en bestemt type behandling.<\/p>\n

James Teo, professor ved King's College Hospital og medforfatter til unders\u00f8gelsen, forklarede betydningen af dette. Teo sagde p\u00e5 X: \"I mods\u00e6tning til LLM'er, der blot forudsiger det n\u00e6ste ord, forudsiger Foresight mulige fremtider for patienter og repr\u00e6senterer mulige multivers for at forst\u00e5 sygdomme.\"<\/p>\n

Man kan tage en patients EPJ og derefter simulere flere versioner af patienten for at forudsige deres sundhedsforl\u00f8b. Traditionelt skulle en l\u00e6ge l\u00e6se en patients EPJ, beslutte sig for en behandlingsmulighed og derefter evaluere resultaterne efter et stykke tid for at overv\u00e5ge behandlingens effektivitet.<\/p>\n

Med Foresight kan en l\u00e6ge simulere flere potentielle behandlinger, hvor modellen forudsiger de kortsigtede og langsigtede resultater af hver behandling. Det er en langt mere omkostningseffektiv tilgang og sk\u00e5ner patienten for den \"lad os pr\u00f8ve det\"-tilgang, som mange l\u00e6ger er n\u00f8dt til at ty til.<\/p>\n

\"\"
CogStack henter EPJ-data, MedCAT kommenterer dem, Foresight Core er deep learning-modellen til biomedicinsk begrebsmodellering, og Foresight-webapplikationen muligg\u00f8r interaktion med den tr\u00e6nede model. Kilde: The Lancet The Lancet Digital Health<\/figcaption><\/figure>\n

Resultater<\/h2>\n

Unders\u00f8gelsen, udgivet i The Lancet Digital Health<\/a>Foresight forklarede, hvordan forskerne tr\u00e6nede tre forskellige modeller af Foresight ved hj\u00e6lp af hospitalsdatas\u00e6t fra to britiske hospitaler og et offentligt tilg\u00e6ngeligt datas\u00e6t i USA med i alt 811.336 patienter.<\/p>\n

Foresight fik til opgave at v\u00e6lge den lidelse, som en patient med st\u00f8rst sandsynlighed ville udvikle, ud fra en liste med 10 mulige lidelser. Den forudsagde n\u00f8jagtigt den n\u00e6ste lidelse 68% og 76% af gangene ved brug af de to britiske datas\u00e6t og 88% af gangene ved brug af amerikanske data.<\/p>\n

Da Foresight fik til opgave at forudsige det n\u00e6ste nye biomedicinske \"koncept\", som kunne v\u00e6re en lidelse, et symptom, et tilbagefald eller medicin, opn\u00e5ede de en pr\u00e6cision p\u00e5 henholdsvis 80%, 81% og 91% ved hj\u00e6lp af de britiske og amerikanske datas\u00e6t.<\/p>\n

Forskellen i ydeevne viser, hvor afh\u00e6ngige AI-v\u00e6rkt\u00f8jer er af at have data af god kvalitet.<\/p>\n

Hvor sp\u00e6ndende denne anvendelse af AI end er, bem\u00e6rker forskerne, at der er flere udfordringer, der skal overvindes. At finde m\u00e5der at f\u00e5 modellen til korrekt at afveje nye behandlinger og interventioner eller korrekt at evaluere betydningen af sandsynlighed i forhold til hastende karakter og indvirkning er blot to eksempler.<\/p>\n

Forskerne arbejder p\u00e5 at udvikle Foresight 2, som de siger vil v\u00e6re en mere pr\u00e6cis model.<\/p>\n

Med nye l\u00e6gemiddelopdagelser og koncepter som patientmodellering, simulering og prognoser vil AI f\u00e5 en betydelig indflydelse p\u00e5 kvaliteten af de sundhedsydelser, vi f\u00e5r.<\/p>","protected":false},"excerpt":{"rendered":"

Forskere i Storbritannien har testet et AI-v\u00e6rkt\u00f8j kaldet Foresight, som skaber digitale tvillinger af patienter for at kunne forudsige fremtidige sundheds- og behandlingsresultater. Ideen med at skabe digitale tvillinger i forskellige brancher giver ingeni\u00f8rer mulighed for at teste systemer i en simulering, f\u00f8r de implementeres i den fysiske verden. AI-v\u00e6rkt\u00f8jer som Foresight g\u00f8r det nu muligt for sundhedspersonale. Hver gang en patient bes\u00f8ger en sundhedsplejerske, tilf\u00f8jes der oplysninger til deres elektroniske patientjournal (EHR). Nogle af disse data er strukturerede (alder, k\u00f8n, etnicitet), men de fleste er ustrukturerede, som f.eks. testresultater eller notater, som en l\u00e6ge m\u00e5tte g\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\/da\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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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