{"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\/de\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/","title":{"rendered":"KI-Tool erstellt digitale Zwillinge zur Vorhersage der k\u00fcnftigen Gesundheit von Patienten"},"content":{"rendered":"<p><strong>Forscher im Vereinigten K\u00f6nigreich testeten ein KI-Tool namens Foresight, das digitale Zwillinge von Patienten erstellt, um zuk\u00fcnftige Gesundheits- und Behandlungsergebnisse vorherzusagen.<\/strong><\/p>\n<p>Die Idee der Erstellung digitaler Zwillinge in verschiedenen Branchen erm\u00f6glicht es Ingenieuren, Systeme in einer Simulation zu testen, bevor sie in der realen Welt eingesetzt werden. KI-Tools wie <a href=\"https:\/\/www.foresighthealthsolutions.com\/\" target=\"_blank\" rel=\"noopener\">Vorausschauend<\/a> erm\u00f6glichen dies nun auch den Angeh\u00f6rigen der Heilberufe.<\/p>\n<p>Jedes Mal, wenn ein Patient einen Arzt aufsucht, werden Informationen zu seiner elektronischen Gesundheitsakte (EHR) hinzugef\u00fcgt. Einige dieser Daten sind strukturiert (Alter, Geschlecht, ethnische Zugeh\u00f6rigkeit), aber die meisten sind unstrukturiert, wie Testergebnisse oder Notizen eines Arztes.<\/p>\n<p>Foresight verwendet ein GPT-basiertes Modell, um diese Daten in ein Modell oder einen digitalen Zwilling des Patienten umzuwandeln. Da Foresight auf der Grundlage riesiger Mengen von EHR-Daten anderer Patienten trainiert wurde, ist es in der Lage, gesundheitliche Ergebnisse vorherzusagen, z. B. die Art der Krankheiten, die ein Patient wahrscheinlich entwickeln wird, oder sein Ansprechen auf eine bestimmte Behandlung.<\/p>\n<p>James Teo, Professor am King's College Hospital und Mitautor der Studie, erl\u00e4uterte die Bedeutung dieser Tatsache. Teo sagte auf X: \"Im Gegensatz zu LLMs, die einfach das n\u00e4chste Wort vorhersagen, prognostiziert Foresight m\u00f6gliche Zuk\u00fcnfte f\u00fcr Patienten und stellt m\u00f6gliche Multiversen dar, um Krankheiten zu verstehen.\"<\/p>\n<p>Man k\u00f6nnte die elektronische Patientenakte eines Patienten nehmen und dann mehrere Versionen des Patienten simulieren, um seinen Gesundheitsverlauf vorherzusagen. Bisher musste ein Arzt die elektronische Patientenakte eines Patienten lesen, sich f\u00fcr eine Behandlungsoption entscheiden und dann die Ergebnisse nach einiger Zeit auswerten, um die Wirksamkeit der Behandlung zu \u00fcberwachen.<\/p>\n<p>Mit Foresight k\u00f6nnte ein Arzt mehrere potenzielle Behandlungen simulieren, wobei das Modell die kurz- und langfristigen Ergebnisse jeder Behandlung vorhersagt. Dies ist ein weitaus kosteneffizienterer Ansatz und erspart dem Patienten die \"Versuchen wir es mal so\"-Methode, zu der viele \u00c4rzte greifen m\u00fcssen.<\/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 ruft EHR-Daten ab, MedCAT annotiert sie, Foresight Core ist das Deep-Learning-Modell f\u00fcr die biomedizinische Konzeptmodellierung, und die Foresight-Webanwendung erm\u00f6glicht die Interaktion mit dem trainierten Modell. Quelle: The Lancet Digital Health<\/figcaption><\/figure>\n<h2>Ergebnisse<\/h2>\n<p>Die Studie, <a href=\"https:\/\/www.thelancet.com\/journals\/landig\/article\/PIIS2589-7500(24)00025-6\/fulltext#%20\" target=\"_blank\" rel=\"noopener\">ver\u00f6ffentlicht in The Lancet Digital Health<\/a>In seinem Vortrag erl\u00e4uterte er, wie die Forscher drei verschiedene Foresight-Modelle anhand von Krankenhausdatens\u00e4tzen aus zwei britischen Krankenh\u00e4usern und einem \u00f6ffentlich zug\u00e4nglichen Datensatz aus den USA mit insgesamt 811 336 Patienten trainierten.<\/p>\n<p>Die Aufgabe von Foresight bestand darin, aus einer Liste von 10 m\u00f6glichen Erkrankungen diejenige auszuw\u00e4hlen, die ein Patient mit hoher Wahrscheinlichkeit entwickeln w\u00fcrde. Die n\u00e4chste Erkrankung wurde in 68% bzw. 76% der F\u00e4lle bei Verwendung der beiden britischen Datens\u00e4tze und in 88% der F\u00e4lle bei Verwendung der US-Daten richtig vorhergesagt.<\/p>\n<p>Bei der Vorhersage des n\u00e4chsten neuen biomedizinischen \"Konzepts\", bei dem es sich um eine Krankheit, ein Symptom, einen R\u00fcckfall oder ein Medikament handeln k\u00f6nnte, erreichte Foresight mit den Datens\u00e4tzen aus dem Vereinigten K\u00f6nigreich und den USA eine Genauigkeit von 80%, 81% bzw. 91%.<\/p>\n<p>Die unterschiedlichen Leistungen zeigen, wie sehr die KI-Tools von einer guten Datenqualit\u00e4t abh\u00e4ngen.<\/p>\n<p>So aufregend diese Anwendung von KI auch ist, die Forscher weisen auf einige Herausforderungen hin, die es zu bew\u00e4ltigen gilt. Die Suche nach M\u00f6glichkeiten, wie das Modell neue Behandlungen und Interventionen richtig abw\u00e4gen oder die Bedeutung der Wahrscheinlichkeit gegen\u00fcber der Dringlichkeit und den Auswirkungen richtig bewerten kann, sind nur zwei Beispiele.<\/p>\n<p>Die Forscher arbeiten an der Entwicklung von Foresight 2, das ein noch genaueres Modell sein soll.<\/p>\n<p>Mit der Entdeckung neuer Medikamente und Konzepten wie Patientenmodellierung, Simulation und Vorhersage wird die KI einen erheblichen Einfluss auf die Qualit\u00e4t der Gesundheitsversorgung haben, die wir erhalten.<\/p>","protected":false},"excerpt":{"rendered":"<p>Forscher im Vereinigten K\u00f6nigreich testeten ein KI-Tool namens Foresight, das digitale Zwillinge von Patienten erstellt, um zuk\u00fcnftige Gesundheits- und Behandlungsergebnisse vorherzusagen. Die Idee der Erstellung digitaler Zwillinge in verschiedenen Branchen erm\u00f6glicht es Ingenieuren, Systeme in einer Simulation zu testen, bevor sie in der realen Welt eingesetzt werden. KI-Tools wie Foresight machen dies nun auch f\u00fcr das Gesundheitswesen m\u00f6glich. Jedes Mal, wenn ein Patient einen Arzt aufsucht, werden Informationen zu seiner elektronischen Gesundheitsakte (EHR) hinzugef\u00fcgt. Einige dieser Daten sind strukturiert (Alter, Geschlecht, ethnische Zugeh\u00f6rigkeit), aber die meisten sind unstrukturiert, wie Testergebnisse oder Notizen eines Arztes.<\/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\/de\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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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