{"id":9165,"date":"2024-01-12T19:45:55","date_gmt":"2024-01-12T19:45:55","guid":{"rendered":"https:\/\/dailyai.com\/?p=9165"},"modified":"2024-01-12T19:49:34","modified_gmt":"2024-01-12T19:49:34","slug":"google-research-healthcare-llm-excels-doctors-in-key-areas","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/01\/google-research-healthcare-llm-excels-doctors-in-key-areas\/","title":{"rendered":"Google Research healthcare LLM destaca a los m\u00e9dicos en \u00e1reas clave"},"content":{"rendered":"<p><b>El sistema de IA de Google, entrenado para realizar entrevistas m\u00e9dicas, supera a los m\u00e9dicos humanos en aspectos relacionados con el trato y la precisi\u00f3n diagn\u00f3stica.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Desarrollado por equipos de DeepMind y Google Research y actualmente <\/span><a href=\"https:\/\/arxiv.org\/pdf\/2401.05654.pdf\"><span style=\"font-weight: 400;\">publicado en ArXiv<\/span><\/a><span style=\"font-weight: 400;\">, el chatbot, bautizado como Articulate Medical Intelligence Explorer (AMIE), destac\u00f3 en el diagn\u00f3stico de afecciones respiratorias y cardiovasculares, entre otras.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Igual\u00f3 o incluso super\u00f3 a los m\u00e9dicos de atenci\u00f3n primaria colegiados a la hora de recabar informaci\u00f3n sobre los pacientes durante las entrevistas m\u00e9dicas y obtuvo puntuaciones m\u00e1s altas en empat\u00eda.<\/span><\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Estamos encantados de presentar nuestro nuevo trabajo de investigaci\u00f3n sobre AMIE (Articulate Medical Intelligence Explorer), un paso hacia la IA conversacional para el diagn\u00f3stico mediante <a href=\"https:\/\/twitter.com\/GoogleAI?ref_src=twsrc%5Etfw\">@GoogleAI<\/a> <a href=\"https:\/\/twitter.com\/GoogleHealth?ref_src=twsrc%5Etfw\">@GoogleSalud<\/a> <a href=\"https:\/\/twitter.com\/GoogleDeepMind?ref_src=twsrc%5Etfw\">@GoogleDeepMind<\/a><a href=\"https:\/\/t.co\/KIl1cYjgWO\">https:\/\/t.co\/KIl1cYjgWO<\/a> <a href=\"https:\/\/t.co\/JcPAiNcPgJ\">pic.twitter.com\/JcPAiNcPgJ<\/a><\/p>\n<p>- Mike Schaekermann (@HardyShakerman) <a href=\"https:\/\/twitter.com\/HardyShakerman\/status\/1745635460334993439?ref_src=twsrc%5Etfw\">12 de enero de 2024<\/a><\/p><\/blockquote>\n<p><script src=\"https:\/\/platform.twitter.com\/widgets.js\" async=\"\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">Uno de los principales retos a la hora de desarrollar AMIE fue la escasez de conversaciones m\u00e9dicas del mundo real como datos de entrenamiento.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Para superarlo, el equipo de Google Health, en el que se incluye el investigador cient\u00edfico de IA Vivek Natarajan, elabor\u00f3 un m\u00e9todo que permite al chatbot entablar \"conversaciones\" simuladas.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">La IA fue entrenada para desempe\u00f1ar los papeles de un paciente, un cl\u00ednico emp\u00e1tico y un cr\u00edtico que eval\u00faa la interacci\u00f3n m\u00e9dico-paciente.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">En pruebas en las que participaron 20 actores entrenados para simular pacientes y 20 m\u00e9dicos colegiados, AMIE igual\u00f3 o super\u00f3 sistem\u00e1ticamente la precisi\u00f3n diagn\u00f3stica de los m\u00e9dicos en seis especialidades m\u00e9dicas.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Super\u00f3 a los m\u00e9dicos en 24 de los 26 criterios de calidad de la conversaci\u00f3n, como la cortes\u00eda y la explicaci\u00f3n de afecciones y tratamientos.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Alan Karthikesalingam, cient\u00edfico de investigaci\u00f3n cl\u00ednica de Google Health en Londres y coautor del estudio, se\u00f1al\u00f3: \"Que sepamos, es la primera vez que un sistema de IA conversacional se dise\u00f1a de forma \u00f3ptima para el di\u00e1logo diagn\u00f3stico y la elaboraci\u00f3n del historial cl\u00ednico.\"\u00a0<\/span><\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Nos complace presentar AMIE (Articulate Medical Intelligence Explorer), nuestro LLM de investigaci\u00f3n para conversaciones de diagn\u00f3stico. AMIE super\u00f3 a los m\u00e9dicos de atenci\u00f3n primaria en calidad de conversaci\u00f3n y precisi\u00f3n diagn\u00f3stica en un estudio aleatorio de tipo \"OSCE virtual\". Preimpresi\u00f3n \u27a1\ufe0f <a href=\"https:\/\/t.co\/XZizS9PtDG\">https:\/\/t.co\/XZizS9PtDG<\/a> (1\/7) <a href=\"https:\/\/t.co\/3t8hTkLmO9\">pic.twitter.com\/3t8hTkLmO9<\/a><\/p>\n<p>- Alan Karthikesalingam (@alan_karthi) <a href=\"https:\/\/twitter.com\/alan_karthi\/status\/1745628728040853823?ref_src=twsrc%5Etfw\">12 de enero de 2024<\/a><\/p><\/blockquote>\n<p><script src=\"https:\/\/platform.twitter.com\/widgets.js\" async=\"\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">Sin embargo, Karthikesalingam subraya que la AMIE sigue siendo experimental y no se ha probado con pacientes reales, sino s\u00f3lo con actores que representan afecciones m\u00e9dicas ficticias pero veros\u00edmiles.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">C\u00f3mo funcion\u00f3 el estudio<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">El estudio titulado \"Towards Conversational Diagnostic AI\" presenta AMIE, un LLM dise\u00f1ado para interacciones de diagn\u00f3stico m\u00e9dico.\u00a0<\/span><\/p>\n<p>Aqu\u00ed tiene m\u00e1s informaci\u00f3n sobre c\u00f3mo funciona:<\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Desarrollo de AMIE<\/b><span style=\"font-weight: 400;\">: El Articulate Medical Intelligence Explorer (AMIE) es un sistema de IA basado en un Gran Modelo de Lenguaje (LLM) creado por Google. Est\u00e1 optimizado para el di\u00e1logo diagn\u00f3stico en contextos m\u00e9dicos. AMIE se dise\u00f1\u00f3 para emular el complejo proceso de elaboraci\u00f3n del historial cl\u00ednico y el razonamiento diagn\u00f3stico.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Formaci\u00f3n en di\u00e1logo simulado<\/b><span style=\"font-weight: 400;\">: Los investigadores desarrollaron un novedoso entorno simulado de autoaprendizaje debido a la falta de conversaciones m\u00e9dicas reales para la formaci\u00f3n. Esto permiti\u00f3 a los AMIE participar en di\u00e1logos simulados, desempe\u00f1ando distintos papeles (paciente, m\u00e9dico, cr\u00edtico) para mejorar el aprendizaje. Estos di\u00e1logos abarcaban diversas afecciones m\u00e9dicas, especialidades y contextos.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Ajuste de las instrucciones y estrategia de la cadena de razonamiento<\/b><span style=\"font-weight: 400;\">: AMIE se someti\u00f3 a un proceso de perfeccionamiento de las instrucciones utilizando varios conjuntos de datos del mundo real, incluidos datos de respuesta a preguntas m\u00e9dicas, razonamiento, resumen y di\u00e1logo. Una estrategia de razonamiento en cadena consist\u00eda en analizar la informaci\u00f3n del paciente, formular respuestas y acciones, y refinar las respuestas en funci\u00f3n de la conversaci\u00f3n en curso.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Estudio de examen cl\u00ednico objetivo estructurado a distancia (OSCE)<\/b><span style=\"font-weight: 400;\">: Los investigadores llevaron a cabo un estudio aleatorizado, doble ciego y cruzado en el que se compar\u00f3 AMIE con m\u00e9dicos de atenci\u00f3n primaria (MAP). En este estudio se utilizaron consultas basadas en texto con 149 pacientes simulados representados por actores en diversos escenarios cl\u00ednicos. Tanto los m\u00e9dicos especialistas como los pacientes actores evaluaron la actuaci\u00f3n de AMIE y de los m\u00e9dicos de atenci\u00f3n primaria.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Evaluaci\u00f3n y resultados<\/b><span style=\"font-weight: 400;\">: La evaluaci\u00f3n se centr\u00f3 en la precisi\u00f3n diagn\u00f3stica, el razonamiento de gesti\u00f3n, las habilidades de comunicaci\u00f3n y la empat\u00eda. Los AMIE demostraron un rendimiento superior al de los m\u00e9dicos de familia en varias \u00e1reas, como la precisi\u00f3n diagn\u00f3stica y la empat\u00eda.\u00a0<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Los investigadores advierten de que estos resultados deben interpretarse a la ligera por el momento, se\u00f1alando las limitaciones del estudio, como el uso de una interfaz de chat de texto y la falta de interacciones con pacientes del mundo real.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sin embargo, supone un avance hacia el desarrollo de sistemas de IA capaces de realizar entrevistas m\u00e9dicas y di\u00e1logos de diagn\u00f3stico.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">La IA generativa en la atenci\u00f3n sanitaria ha sido un \u00e1rea de enorme \u00e9xito, con modelos <\/span><a href=\"https:\/\/dailyai.com\/es\/2023\/12\/mit-researchers-identify-new-class-of-antibiotics-using-ai\/\"><span style=\"font-weight: 400;\">localizar nuevos antibi\u00f3ticos<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/dailyai.com\/es\/2023\/12\/researchers-use-ai-assisted-colonoscopy-process-to-boost-polyp-identification\/\"><span style=\"font-weight: 400;\">mejorar las colonoscopias<\/span><\/a><span style=\"font-weight: 400;\">y <\/span><a href=\"https:\/\/dailyai.com\/es\/2024\/01\/nvidia-expands-its-offerings-of-drug-discovery-models-through-bionemo\/\"><span style=\"font-weight: 400;\">simulaci\u00f3n de interacciones<\/span><\/a><span style=\"font-weight: 400;\"> entre compuestos y procesos biol\u00f3gicos.<\/span><\/p>\n<p>\u00bfPodr\u00edan los modelos de IA adoptar ahora tambi\u00e9n funciones de cara al paciente?<\/p>","protected":false},"excerpt":{"rendered":"<p>El sistema de IA de Google, entrenado para realizar entrevistas m\u00e9dicas, supera a los m\u00e9dicos humanos en aspectos relacionados con el trato con el paciente y la precisi\u00f3n diagn\u00f3stica.  Desarrollado por equipos de DeepMind y Google Research y publicado actualmente en ArXiv, el chatbot, denominado Articulate Medical Intelligence Explorer (AMIE), destac\u00f3 en el diagn\u00f3stico de afecciones respiratorias y cardiovasculares, entre otras.  Igual\u00f3 o incluso super\u00f3 a los m\u00e9dicos de atenci\u00f3n primaria certificados en la recopilaci\u00f3n de informaci\u00f3n del paciente durante las entrevistas m\u00e9dicas y obtuvo una puntuaci\u00f3n m\u00e1s alta en empat\u00eda. Encantado de presentar nuestro nuevo trabajo de investigaci\u00f3n sobre AMIE (Articulate Medical Intelligence Explorer), un paso hacia la IA de diagn\u00f3stico conversacional de @GoogleAI @GoogleHealth @GoogleDeepMindhttps:\/\/t.co\/KIl1cYjgWO pic.twitter.com\/JcPAiNcPgJ - Mike Schaekermann (@HardyShakerman) Enero<\/p>","protected":false},"author":2,"featured_media":9168,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[147,437],"class_list":["post-9165","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-deepmind","tag-google-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google Research healthcare LLM excels doctors in key areas | DailyAI<\/title>\n<meta name=\"description\" content=\"Google&#039;s AI system, trained to conduct medical 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