{"id":15266,"date":"2026-10-23T08:13:52","date_gmt":"2026-10-23T08:13:52","guid":{"rendered":"https:\/\/dailyai.com\/?p=15266"},"modified":"2026-10-24T17:30:05","modified_gmt":"2026-10-24T17:30:05","slug":"microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2026\/10\/microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study\/","title":{"rendered":"Microsofts KI-Diagnosepanel schl\u00e4gt \u00c4rzte in wissenschaftlicher Studie mit 83% zu 36%"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Das KI-Diagnosesystem von Microsoft, MAI-DxO, diagnostizierte in einer von Experten begutachteten Studie in Science 83% von komplexen F\u00e4llen des New England Journal of Medicine korrekt, im Vergleich zu 36% bei Allgemeinmedizinern, die Referenztools verwenden konnten.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Das Papier, <a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.aeh7930\" target=\"_blank\" rel=\"noopener\">\u201cSequenzielle Diagnose mit Sprachmodellen\u201d<\/a>, wurde am 22. Oktober ver\u00f6ffentlicht. Anstatt einer KI einen kompletten Fallbericht zu \u00fcbergeben, l\u00e4sst man das System mit einer kurzen Pr\u00e4sentation beginnen und entscheiden, welche Fragen gestellt und welche Tests angeordnet werden sollen, so wie es ein Arzt tun w\u00fcrde.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Wie es funktioniert<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Das Team entwickelte einen Benchmark namens SDBench anhand von 304 klinisch-pathologischen F\u00e4llen aus dem NEJM und 325 Notaufnahmen aus dem MIMIC-IV-ED-Datensatz. Ein \u201cGatekeeper\u201d-Agent gibt nur die Informationen preis, die eine Frage oder ein Test realistischerweise liefern w\u00fcrde, und ein \u201cJudge\u201d-Agent bewertet die endg\u00fcltige Diagnose.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MAI-DxO, der Microsoft AI Diagnostic Orchestrator, <a href=\"https:\/\/microsoft.ai\/news\/building-medical-superintelligence\/\" target=\"_blank\" rel=\"noopener\">Funktioniert wie ein Gremium virtueller \u00c4rzte<\/a>Jeder von ihnen schl\u00e4gt Diagnosen vor, w\u00e4hlt Fragen oder Tests aus und hinterfragt die sich herausbildende Sichtweise, w\u00e4hrend das System die Kosten jedes Tests abw\u00e4gt.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Die Zahlen<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In den NEJM-F\u00e4llen erzielte das System auf Basis von GPT-5 einen Wert von 83,2 % bei durchschnittlichen gesch\u00e4tzten Testkosten von 5.431 US-Dollar. \u00c4rzte erreichten im Durchschnitt 36,1 % mit Such- und Referenztools und 22,3 % ohne. Selbst der beste einzelne Arzt, der 51,8 % erzielte, wurde hinsichtlich Genauigkeit und Kosten \u00fcbertroffen.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bei routinem\u00e4\u00dfigen Notf\u00e4llen erreichte MAI-DxO 80.3% gegen\u00fcber 46.8% bei den \u00c4rzten. Laut Microsoft blieben die Verbesserungen bestehen und verbesserten sich sogar noch, als die Evaluierung mit GPT-5.5 ohne \u00c4nderung der Orchestrierung wiederholt wurde.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Die Vorbehalte<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Die Autoren gehen offen mit den Grenzen der Methode um. Die Tests basierten ausschlie\u00dflich auf Text, verglichen die KI mit einzelnen Generalisten anstatt mit Spezialisten oder Teams und ma\u00dfen \u201cdiagnostisches Denken unter idealisierten Informationsbedingungen anstatt die Leistung am Krankenbett oder die Patientenergebnisse\u201d. Alle Autoren sind Mitarbeiter von Microsoft.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Deshalb ist der n\u00e4chste Schritt so wichtig. Microsoft k\u00fcndigt eine prospektive Studie mit dem Beth Israel Deaconess Medical Center in Boston an, in der Patienten direkt mit dem System interagieren. Au\u00dferdem stellt das Unternehmen den Quellcode von SDBench als Open Source zur Verf\u00fcgung, damit andere weitere Modelle testen und die Ergebnisse \u00fcberpr\u00fcfen k\u00f6nnen.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Warum es wichtig ist<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Haus\u00e4rzte sind bereits <a href=\"https:\/\/dailyai.com\/de\/2024\/09\/ai-in-the-doctors-office-gps-turn-to-chatgpt-and-other-tools-for-diagnoses\/\">sich umdrehen <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">ChatGPT<\/span><\/span><\/span><\/span><\/span><\/span><\/span> und andere Diagnoseinstrumente<\/a>, und Instrumente wie das des NHS <a href=\"https:\/\/dailyai.com\/de\/2024\/03\/nhs-cancer-tool-mia-identified-cancers-that-doctors-missed\/\">Mia Krebs-Tool<\/a> Studien haben gezeigt, dass KI Fehler erkennen kann, die \u00c4rzte \u00fcbersehen. Ein strukturiertes, kostenbewusstes Gremium wie MAI-DxO deutet auf eine strengere Version davon hin, aber solange dies nicht an realen Patienten erprobt ist, handelt es sich um einen Richtwert, nicht um ein klinisches Ergebnis.<\/p>","protected":false},"excerpt":{"rendered":"<p>Microsoft&#8217;s MAI-DxO diagnosed 83% of complex NEJM cases versus 36% for physicians in a Science study, though only in a text-only benchmark.<\/p>","protected":false},"author":16,"featured_media":15438,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[],"class_list":["post-15266","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MAI-DxO Outdiagnoses Doctors in Science Study | DailyAI<\/title>\n<meta name=\"description\" content=\"Microsoft&#039;s MAI-DxO hit 83% accuracy on complex NEJM cases versus 36% for physicians in a Science study. 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