{"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\/nl\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/","title":{"rendered":"AI-tool cre\u00ebert digitale tweeling om toekomstige gezondheid van pati\u00ebnten te voorspellen"},"content":{"rendered":"<p><strong>Onderzoekers in het Verenigd Koninkrijk testten een AI-tool genaamd Foresight dat digitale tweelingen van pati\u00ebnten cre\u00ebert om toekomstige gezondheids- en behandelingsresultaten te voorspellen.<\/strong><\/p>\n<p>Het idee om digitale tweelingen te cre\u00ebren in verschillende industrie\u00ebn stelt ingenieurs in staat om systemen te testen in een simulatie voordat ze worden ingezet in de fysieke wereld. AI-tools zoals <a href=\"https:\/\/www.foresighthealthsolutions.com\/\" target=\"_blank\" rel=\"noopener\">Vooruitzicht<\/a> maken dit nu mogelijk voor zorgverleners.<\/p>\n<p>Elke keer dat een pati\u00ebnt een arts bezoekt, wordt er informatie toegevoegd aan het elektronisch pati\u00ebntendossier (EPD). Sommige van deze gegevens zijn gestructureerd (leeftijd, geslacht, etniciteit), maar de meeste zijn ongestructureerd, zoals testresultaten of aantekeningen die een arts maakt.<\/p>\n<p>Foresight gebruikt een GPT-gebaseerd model om deze gegevens om te zetten in een model, of digitale tweeling, van de pati\u00ebnt. Omdat Foresight is getraind op enorme hoeveelheden EHR-gegevens van andere pati\u00ebnten, kan het vervolgens gezondheidsuitkomsten voorspellen, zoals het soort ziektes dat een pati\u00ebnt waarschijnlijk zal ontwikkelen, of hun reactie op een bepaalde behandeling.<\/p>\n<p>James Teo, een professor aan het King's College Hospital en co-auteur van de studie, legde het belang hiervan uit. Teo zei op X: \"In tegenstelling tot LLM's die eenvoudigweg het volgende woord voorspellen, voorspelt Foresight mogelijke toekomsten voor pati\u00ebnten, die mogelijke multiverses voorstellen om ziekten te begrijpen.\"<\/p>\n<p>Je zou het EHR van een pati\u00ebnt kunnen nemen en vervolgens meerdere versies van de pati\u00ebnt kunnen simuleren om hun gezondheidstraject te voorspellen. Traditioneel zou een arts het EHR van een pati\u00ebnt moeten lezen, een behandelingsoptie moeten kiezen en dan na enige tijd de resultaten evalueren om de effectiviteit van de behandeling te controleren.<\/p>\n<p>Met Foresight kan een arts meerdere mogelijke behandelingen simuleren, waarbij het model de korte- en langetermijnresultaten van elke behandeling voorspelt. Dit is een veel kosteneffectievere benadering en bespaart de pati\u00ebnt de \"Laten we dit proberen\"-benadering waartoe veel artsen hun toevlucht nemen.<\/p>\n<figure id=\"attachment_10929\" aria-describedby=\"caption-attachment-10929\" style=\"width: 645px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10929\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Foresight-pipeline.jpeg\" alt=\"\" width=\"645\" height=\"796\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Foresight-pipeline.jpeg 645w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Foresight-pipeline-243x300.jpeg 243w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Foresight-pipeline-370x457.jpeg 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Foresight-pipeline-20x25.jpeg 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Foresight-pipeline-39x48.jpeg 39w\" sizes=\"auto, (max-width: 645px) 100vw, 645px\" \/><figcaption id=\"caption-attachment-10929\" class=\"wp-caption-text\">CogStack haalt EHR-gegevens op, MedCAT annoteert ze, Foresight Core is het deep-learning model voor biomedische conceptmodellering en de Foresight webapplicatie maakt interactie met het getrainde model mogelijk. Bron: The Lancet Digital Health<\/figcaption><\/figure>\n<h2>Resultaten<\/h2>\n<p>De studie, <a href=\"https:\/\/www.thelancet.com\/journals\/landig\/article\/PIIS2589-7500(24)00025-6\/fulltext#%20\" target=\"_blank\" rel=\"noopener\">gepubliceerd in The Lancet Digital Health<\/a>legde uit hoe de onderzoekers drie verschillende modellen van Foresight trainden met behulp van ziekenhuisdatasets van twee Britse ziekenhuizen en een openbaar beschikbare dataset in de VS, voor in totaal 811.336 pati\u00ebnten.<\/p>\n<p>Foresight kreeg de opdracht om uit een lijst van 10 mogelijke aandoeningen de aandoening te selecteren die een pati\u00ebnt waarschijnlijk zou ontwikkelen. Het voorspelde de volgende aandoening 68% en 76% van de tijd nauwkeurig bij gebruik van de twee Britse datasets en 88% van de tijd bij gebruik van Amerikaanse gegevens.<\/p>\n<p>Toen Foresight de taak kreeg om het volgende nieuwe biomedische 'concept' te voorspellen, wat een aandoening, symptoom, terugval of medicijn kan zijn, bereikte het een precisie van respectievelijk 80%, 81% en 91% door gebruik te maken van de Britse en Amerikaanse datasets.<\/p>\n<p>De variatie in prestaties laat zien hoe afhankelijk AI-tools zijn van gegevens van goede kwaliteit.<\/p>\n<p>Hoe opwindend deze toepassing van AI ook is, de onderzoekers merken op dat er nog verschillende uitdagingen moeten worden overwonnen. Het vinden van manieren om het model nieuwe behandelingen en interventies goed te laten wegen, of het belang van waarschijnlijkheid versus urgentie en impact goed te evalueren zijn slechts twee voorbeelden.<\/p>\n<p>De onderzoekers werken aan de ontwikkeling van Foresight 2, dat volgens hen een nauwkeuriger model zal zijn.<\/p>\n<p>Met de ontdekking van nieuwe medicijnen en concepten als pati\u00ebntmodellering, simulatie en voorspelling zal AI een grote invloed hebben op de kwaliteit van de gezondheidszorg die we krijgen.<\/p>","protected":false},"excerpt":{"rendered":"<p>Onderzoekers in het Verenigd Koninkrijk testten een AI-tool genaamd Foresight dat digitale tweelingen van pati\u00ebnten cre\u00ebert om toekomstige gezondheids- en behandelingsresultaten te voorspellen. Het idee om digitale tweelingen te cre\u00ebren in verschillende industrie\u00ebn stelt ingenieurs in staat om systemen te testen in een simulatie voordat ze worden ingezet in de fysieke wereld. AI-tools zoals Foresight maken dit nu mogelijk voor zorgverleners. Elke keer dat een pati\u00ebnt een arts bezoekt, wordt er informatie toegevoegd aan het elektronisch pati\u00ebntendossier (EHR). Sommige van deze gegevens zijn gestructureerd (leeftijd, geslacht, etniciteit), maar de meeste zijn ongestructureerd, zoals testresultaten of aantekeningen die een arts maakt.<\/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":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI 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\/nl\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\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. The idea of creating digital twins in various industries allows engineers to test systems in a simulation before deploying them in the physical world. AI tools like Foresight are now making this possible for healthcare practitioners. Every time a patient visits a healthcare practitioner information is added to their electronic health record (EHR). 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