{"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\/it\/2026\/10\/microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study\/","title":{"rendered":"In uno studio scientifico, il sistema di diagnosi basato sull'intelligenza artificiale di Microsoft supera i medici con 83% contro 36%"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Il sistema di diagnosi basato sull'intelligenza artificiale di Microsoft, MAI-DxO, ha diagnosticato correttamente 83% dei casi complessi del New England Journal of Medicine in uno studio sottoposto a revisione paritaria e pubblicato su Science, contro 36% dei medici di medicina generale che potevano utilizzare strumenti di riferimento.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il documento, <a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.aeh7930\" target=\"_blank\" rel=\"noopener\">\u201cDiagnosi sequenziale con modelli linguistici\u201d<\/a>, \u00e8 stato pubblicato il 22 ottobre. Invece di fornire a un&#039;IA una descrizione completa del caso, fa s\u00ec che il sistema parta da una breve presentazione e decida cosa chiedere e quali esami prescrivere, proprio come farebbe un medico.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Come funziona<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Il team ha creato un benchmark chiamato SDBench utilizzando 304 casi clinico-patologici del NEJM e 325 ricoveri in pronto soccorso provenienti dal dataset MIMIC-IV-ED. Un agente &quot;Gatekeeper&quot; rivela solo ci\u00f2 che una domanda o un test potrebbero realisticamente mostrare, mentre un agente &quot;Judge&quot; assegna un punteggio alla diagnosi finale.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MAI-DxO, l&#039;orchestratore diagnostico di intelligenza artificiale di Microsoft, <a href=\"https:\/\/microsoft.ai\/news\/building-medical-superintelligence\/\" target=\"_blank\" rel=\"noopener\">funziona come un gruppo di medici virtuali<\/a>Ciascuno propone diagnosi, seleziona domande o test e contesta la visione emergente, mentre il sistema valuta il costo di ogni test.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">I numeri<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nei casi pubblicati sul NEJM, il sistema basato su GPT-5 ha ottenuto un punteggio di 83,2% con un costo medio stimato del test di 5.431 dollari. I medici hanno ottenuto in media 36,1% con strumenti di ricerca e consultazione e 22,3% senza. Persino il miglior medico individuale, con 51,8%, \u00e8 stato superato sia in termini di accuratezza che di costo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nei casi di emergenza pi\u00f9 comuni, MAI-DxO ha raggiunto 80,3% contro 46,8% per i medici. Microsoft afferma che i miglioramenti si sono mantenuti e sono addirittura aumentati quando ha ripetuto la valutazione su GPT-5.5 senza modificare l&#039;orchestrazione.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Le avvertenze<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Gli autori sono espliciti riguardo ai limiti. I test erano basati esclusivamente su testo, confrontavano l&#039;IA con singoli generalisti anzich\u00e9 con specialisti o team e misuravano &quot;il ragionamento diagnostico in condizioni informative idealizzate piuttosto che le prestazioni al letto del paziente o gli esiti clinici&quot;. Tutti gli autori sono dipendenti Microsoft.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ecco perch\u00e9 il prossimo passo \u00e8 importante. Microsoft afferma che condurr\u00e0 uno studio prospettico con il Beth Israel Deaconess Medical Center di Boston, dove i pazienti interagiscono direttamente con il sistema. Inoltre, render\u00e0 pubblico il codice sorgente di SDBench in modo che altri possano testare altri modelli e mettere in discussione i risultati.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Perch\u00e9 \u00e8 importante<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">I medici di base sono gi\u00e0 <a href=\"https:\/\/dailyai.com\/it\/2024\/09\/ai-in-the-doctors-office-gps-turn-to-chatgpt-and-other-tools-for-diagnoses\/\">rivolgendosi a <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> e altri strumenti per la diagnosi<\/a>, e strumenti come quelli del NHS <a href=\"https:\/\/dailyai.com\/it\/2024\/03\/nhs-cancer-tool-mia-identified-cancers-that-doctors-missed\/\">Strumento per il cancro Mia<\/a> \u00c8 stato dimostrato che l&#039;IA pu\u00f2 individuare errori che sfuggono ai medici. Un panel strutturato e attento ai costi come MAI-DxO indica una versione pi\u00f9 rigorosa di questo approccio, ma finch\u00e9 non verr\u00e0 validato su pazienti reali, si tratta di un risultato di riferimento, non clinico.<\/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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