{"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\/es\/2026\/10\/microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study\/","title":{"rendered":"El panel de diagn\u00f3stico con IA de Microsoft supera a los m\u00e9dicos en un estudio cient\u00edfico (83% frente a 36%)"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>El sistema de diagn\u00f3stico por IA de Microsoft, MAI-DxO, diagnostic\u00f3 correctamente 83% de los casos complejos del New England Journal of Medicine en un estudio revisado por pares publicado en Science, frente al 36% de los m\u00e9dicos generalistas que pod\u00edan utilizar herramientas de referencia.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">El peri\u00f3dico, <a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.aeh7930\" target=\"_blank\" rel=\"noopener\">\u201cDiagn\u00f3stico secuencial con modelos ling\u00fc\u00edsticos\u201d<\/a>, Se public\u00f3 el 22 de octubre. En lugar de entregarle a una IA un informe completo del caso, hace que el sistema comience con una breve presentaci\u00f3n y decida qu\u00e9 preguntar y qu\u00e9 pruebas solicitar, como lo har\u00eda un m\u00e9dico.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">C\u00f3mo funciona<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">El equipo cre\u00f3 un sistema de referencia llamado SDBench a partir de 304 casos clinicopatol\u00f3gicos del NEJM y 325 admisiones en urgencias del conjunto de datos MIMIC-IV-ED. Un agente &quot;Gatekeeper&quot; solo divulga la informaci\u00f3n que una pregunta o prueba revelar\u00eda de forma realista, y un agente &quot;Judge&quot; asigna la puntuaci\u00f3n al diagn\u00f3stico final.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MAI-DxO, el orquestador de diagn\u00f3stico de IA de Microsoft, <a href=\"https:\/\/microsoft.ai\/news\/building-medical-superintelligence\/\" target=\"_blank\" rel=\"noopener\">funciona como un panel de m\u00e9dicos virtuales.<\/a>Cada uno propone diagn\u00f3sticos, selecciona preguntas o pruebas y cuestiona la visi\u00f3n emergente, mientras que el sistema eval\u00faa el costo de cada prueba.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Los n\u00fameros<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">En los casos del NEJM, el sistema que utiliza GPT-5 obtuvo una puntuaci\u00f3n de 83,2% con un coste estimado promedio de 5.431 d\u00f3lares. Los m\u00e9dicos obtuvieron un promedio de 36,1% con herramientas de b\u00fasqueda y referencia, y de 22,3% sin ellas. Incluso el mejor m\u00e9dico individual, con 51,8%, fue superado tanto en precisi\u00f3n como en coste.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">En casos de emergencia m\u00e1s rutinarios, MAI-DxO alcanz\u00f3 80,3% frente a 46,8% para los m\u00e9dicos. Microsoft afirma que las mejoras se mantuvieron e incluso aumentaron al repetir la evaluaci\u00f3n en GPT-5.5 sin modificar la orquestaci\u00f3n.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Las advertencias<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Los autores reconocen claramente las limitaciones. Las pruebas se realizaron \u00fanicamente con texto, compararon la IA con m\u00e9dicos generalistas individuales en lugar de especialistas o equipos, y midieron el razonamiento diagn\u00f3stico en condiciones de informaci\u00f3n idealizadas, en lugar del desempe\u00f1o cl\u00ednico o los resultados de los pacientes. Todos los autores son empleados de Microsoft.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Por eso, el siguiente paso es crucial. Microsoft afirma que llevar\u00e1 a cabo un estudio prospectivo con el Centro M\u00e9dico Beth Israel Deaconess en Boston, donde los pacientes interact\u00faan directamente con el sistema. Adem\u00e1s, liberar\u00e1 el c\u00f3digo fuente de SDBench para que otros puedan probar otros modelos y cuestionar los resultados.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Por qu\u00e9 es importante<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Los m\u00e9dicos de cabecera ya est\u00e1n <a href=\"https:\/\/dailyai.com\/es\/2024\/09\/ai-in-the-doctors-office-gps-turn-to-chatgpt-and-other-tools-for-diagnoses\/\">volte\u00e1ndose 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> y otras herramientas para el diagn\u00f3stico<\/a>, y herramientas como la del NHS <a href=\"https:\/\/dailyai.com\/es\/2024\/03\/nhs-cancer-tool-mia-identified-cancers-that-doctors-missed\/\">Herramienta contra el c\u00e1ncer de Mia<\/a> Se ha demostrado que la IA puede detectar lo que los m\u00e9dicos pasan por alto. Un panel estructurado y que tiene en cuenta los costos, como MAI-DxO, apunta a una versi\u00f3n m\u00e1s rigurosa de esto, pero hasta que se demuestre con pacientes reales, es un resultado de referencia, no un resultado cl\u00ednico.<\/p>","protected":false},"excerpt":{"rendered":"<p>El sistema MAI-DxO de Microsoft diagnostic\u00f3 el 83 % de los casos complejos del NEJM, frente al 36 % de los m\u00e9dicos, en un estudio publicado en Science, aunque solo en una prueba basada \u00fanicamente en texto.<\/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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