{"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\/sv\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/","title":{"rendered":"AI-verktyg skapar digitala tvillingar f\u00f6r att f\u00f6rutse patienters framtida h\u00e4lsa"},"content":{"rendered":"

Forskare i Storbritannien testade ett AI-verktyg kallat Foresight som skapar digitala tvillingar av patienter f\u00f6r att f\u00f6rutse framtida h\u00e4lso- och behandlingsresultat.<\/strong><\/p>\n

Id\u00e9n med att skapa digitala tvillingar inom olika branscher g\u00f6r det m\u00f6jligt f\u00f6r ingenj\u00f6rer att testa system i en simulering innan de anv\u00e4nds i den fysiska v\u00e4rlden. AI-verktyg som Framf\u00f6rh\u00e5llning<\/a> g\u00f6r nu detta m\u00f6jligt f\u00f6r v\u00e5rdpersonal.<\/p>\n

Varje g\u00e5ng en patient bes\u00f6ker en v\u00e5rdgivare l\u00e4ggs information till i den elektroniska patientjournalen (EHR). Vissa av dessa uppgifter \u00e4r strukturerade (\u00e5lder, k\u00f6n, etnicitet), men de flesta \u00e4r ostrukturerade, som testresultat eller anteckningar som en l\u00e4kare kan g\u00f6ra.<\/p>\n

Foresight anv\u00e4nder en GPT-baserad modell f\u00f6r att omvandla dessa data till en modell, eller digital tvilling, av patienten. Eftersom Foresight tr\u00e4nas p\u00e5 stora m\u00e4ngder data fr\u00e5n andra patienters journalsystem kan det sedan f\u00f6rutse h\u00e4lsoutfall, t.ex. vilka sjukdomar en patient sannolikt kommer att utveckla eller hur patienten kommer att reagera p\u00e5 en viss typ av behandling.<\/p>\n

James Teo, professor vid King's College Hospital och medf\u00f6rfattare till studien, f\u00f6rklarade betydelsen av detta. Teo sa p\u00e5 X: \"Till skillnad fr\u00e5n LLM som helt enkelt f\u00f6rutsp\u00e5r n\u00e4sta ord, f\u00f6rutsp\u00e5r Foresight m\u00f6jliga framtider f\u00f6r patienter, vilket representerar m\u00f6jliga multiversum f\u00f6r att f\u00f6rst\u00e5 sjukdomar.\"<\/p>\n

Man kan ta en patients journal och sedan simulera flera versioner av patienten f\u00f6r att f\u00f6ruts\u00e4ga dennes h\u00e4lsoutveckling. Traditionellt sett skulle en l\u00e4kare beh\u00f6va l\u00e4sa en patients journal, besluta om ett behandlingsalternativ och sedan utv\u00e4rdera resultaten efter en tid f\u00f6r att \u00f6vervaka behandlingens effektivitet.<\/p>\n

Med Foresight kan en l\u00e4kare simulera flera potentiella behandlingar och modellen f\u00f6rutsp\u00e5r de kortsiktiga och l\u00e5ngsiktiga resultaten av varje behandling. Detta \u00e4r ett mycket mer kostnadseffektivt tillv\u00e4gag\u00e5ngss\u00e4tt och besparar patienten den \"vi provar det h\u00e4r\"-strategi som m\u00e5nga l\u00e4kare m\u00e5ste ta till.<\/p>\n

\"\"
CogStack h\u00e4mtar EHR-data, MedCAT kommenterar dem, Foresight Core \u00e4r en djupinl\u00e4rningsmodell f\u00f6r biomedicinsk begreppsmodellering och Foresights webbapplikation m\u00f6jligg\u00f6r interaktion med den utbildade modellen. K\u00e4lla: The Lancet The Lancet Digital Health<\/figcaption><\/figure>\n

Resultat<\/h2>\n

Studien, publicerad i The Lancet Digital Health<\/a>, f\u00f6rklarade hur forskarna tr\u00e4nade tre olika modeller av Foresight med hj\u00e4lp av sjukhusdataset fr\u00e5n tv\u00e5 brittiska sjukhus och ett offentligt tillg\u00e4ngligt dataset i USA, f\u00f6r totalt 811.336 patienter.<\/p>\n

Foresight fick i uppgift att v\u00e4lja den sjukdom som en patient mest sannolikt skulle utveckla fr\u00e5n en lista med 10 m\u00f6jliga sjukdomar. Programmet f\u00f6rutsp\u00e5dde korrekt n\u00e4sta sjukdom 68% och 76% av g\u00e5ngerna n\u00e4r de tv\u00e5 brittiska dataseten anv\u00e4ndes och 88% av g\u00e5ngerna n\u00e4r amerikanska data anv\u00e4ndes.<\/p>\n

N\u00e4r Foresight fick i uppgift att f\u00f6rutse n\u00e4sta nya biomedicinska \"koncept\", som kan vara en sjukdom, ett symptom, ett \u00e5terfall eller en medicinering, uppn\u00e5dde Foresight en precision p\u00e5 80%, 81% respektive 91% med hj\u00e4lp av de brittiska och amerikanska dataseten.<\/p>\n

Variationen i prestanda visar hur beroende AI-verktygen \u00e4r av att ha data av god kvalitet.<\/p>\n

Hur sp\u00e4nnande denna till\u00e4mpning av AI \u00e4n \u00e4r, noterar forskarna flera utmaningar som m\u00e5ste \u00f6vervinnas. Att hitta s\u00e4tt att f\u00e5 modellen att korrekt v\u00e4ga nya behandlingar och interventioner, eller att korrekt utv\u00e4rdera vikten av sannolikhet kontra br\u00e5dska och p\u00e5verkan \u00e4r bara tv\u00e5 exempel.<\/p>\n

Forskarna arbetar med att ta fram Foresight 2, som de menar kommer att vara en mer exakt modell.<\/p>\n

Med nya l\u00e4kemedelsuppt\u00e4ckter och koncept som patientmodellering, simulering och prognostisering kommer AI att f\u00e5 en betydande inverkan p\u00e5 kvaliteten p\u00e5 den v\u00e5rd vi f\u00e5r.<\/p>","protected":false},"excerpt":{"rendered":"

Forskare i Storbritannien har testat ett AI-verktyg kallat Foresight som skapar digitala tvillingar av patienter f\u00f6r att f\u00f6rutse framtida h\u00e4lso- och behandlingsresultat. Id\u00e9n med att skapa digitala tvillingar inom olika branscher g\u00f6r det m\u00f6jligt f\u00f6r ingenj\u00f6rer att testa system i en simulering innan de anv\u00e4nds i den fysiska v\u00e4rlden. AI-verktyg som Foresight g\u00f6r nu detta m\u00f6jligt f\u00f6r v\u00e5rdpersonal. Varje g\u00e5ng en patient bes\u00f6ker en v\u00e5rdgivare l\u00e4ggs information till i patientens elektroniska h\u00e4lsojournal (EHR). En del av dessa data \u00e4r strukturerade (\u00e5lder, k\u00f6n, etnicitet), men det mesta \u00e4r ostrukturerat, som testresultat eller anteckningar som en l\u00e4kare kan g\u00f6ra.<\/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\/sv\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\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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