{"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\/es\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/","title":{"rendered":"Una herramienta de IA crea gemelos digitales para predecir la salud futura de los pacientes"},"content":{"rendered":"

Investigadores del Reino Unido probaron una herramienta de inteligencia artificial llamada Foresight, que crea gemelos digitales de los pacientes para predecir los resultados futuros de la salud y el tratamiento.<\/strong><\/p>\n

La idea de crear gemelos digitales en diversas industrias permite a los ingenieros probar sistemas en una simulaci\u00f3n antes de desplegarlos en el mundo f\u00edsico. Herramientas de IA como Previsi\u00f3n<\/a> lo hacen posible para los profesionales sanitarios.<\/p>\n

Cada vez que un paciente visita a un profesional sanitario se a\u00f1ade informaci\u00f3n a su historia cl\u00ednica electr\u00f3nica (HCE). Algunos de estos datos son estructurados (edad, sexo, etnia), pero la mayor\u00eda son no estructurados, como los resultados de pruebas o las notas que pueda tomar un m\u00e9dico.<\/p>\n

Foresight utiliza un modelo basado en GPT para transformar estos datos en un modelo, o gemelo digital, del paciente. Como Foresight se entrena con enormes cantidades de datos de HCE de otros pacientes, es capaz de predecir resultados sanitarios como el tipo de enfermedades que puede desarrollar un paciente o su respuesta a un determinado tipo de tratamiento.<\/p>\n

James Teo, profesor del King's College Hospital y coautor del estudio, explic\u00f3 la importancia de este hecho. Teo dijo en X: \"A diferencia de los LLM que se limitan a predecir la siguiente palabra, Foresight pronostica posibles futuros para los pacientes, representando posibles multiversos para entender las enfermedades.\"<\/p>\n

Se podr\u00eda tomar la HCE de un paciente y luego simular m\u00faltiples versiones del mismo para predecir su trayectoria sanitaria. Tradicionalmente, un m\u00e9dico tendr\u00eda que leer la HCE de un paciente, decidir una opci\u00f3n de tratamiento y luego evaluar los resultados al cabo de un tiempo para controlar la eficacia del tratamiento.<\/p>\n

Con Foresight, un m\u00e9dico puede simular m\u00faltiples tratamientos potenciales y el modelo pronostica los resultados a corto y largo plazo de cada tratamiento. Se trata de un enfoque mucho m\u00e1s rentable y evita al paciente el \"probemos esto\" al que muchos m\u00e9dicos tienen que recurrir.<\/p>\n

\"\"
CogStack recupera datos de HCE, MedCAT los anota, Foresight Core es el modelo de aprendizaje profundo para el modelado de conceptos biom\u00e9dicos y la aplicaci\u00f3n web Foresight permite interactuar con el modelo entrenado. Fuente: The Lancet Digital Health<\/figcaption><\/figure>\n

Resultados<\/h2>\n

El estudio, publicado en The Lancet Digital Health<\/a>explic\u00f3 c\u00f3mo los investigadores entrenaron tres modelos diferentes de Foresight utilizando conjuntos de datos hospitalarios de dos hospitales del Reino Unido y un conjunto de datos de acceso p\u00fablico en Estados Unidos, para un total de 811.336 pacientes.<\/p>\n

Se encarg\u00f3 a Foresight que seleccionara el trastorno que un paciente ten\u00eda m\u00e1s probabilidades de desarrollar a partir de una lista de 10 posibles trastornos. Predijo con exactitud el siguiente trastorno en un 68% y un 76% de las veces utilizando los dos conjuntos de datos del Reino Unido y en un 88% de las veces utilizando los datos de Estados Unidos.<\/p>\n

Cuando se le encarg\u00f3 predecir el pr\u00f3ximo nuevo \"concepto\" biom\u00e9dico, que podr\u00eda ser un trastorno, un s\u00edntoma, una reca\u00edda o un medicamento, Foresight alcanz\u00f3 una precisi\u00f3n de 80%, 81% y 91%, respectivamente, utilizando los conjuntos de datos del Reino Unido y Estados Unidos.<\/p>\n

La variaci\u00f3n en el rendimiento muestra lo dependientes que son las herramientas de IA de disponer de datos de buena calidad.<\/p>\n

Pese a lo interesante de esta aplicaci\u00f3n de la IA, los investigadores se\u00f1alan varios retos que deben superarse. Encontrar la forma de que el modelo sopese adecuadamente los nuevos tratamientos e intervenciones, o evaluar correctamente la importancia de la probabilidad frente a la urgencia y el impacto son solo dos ejemplos.<\/p>\n

Los investigadores est\u00e1n trabajando en el desarrollo de Foresight 2, que, seg\u00fan afirman, ser\u00e1 un modelo m\u00e1s preciso.<\/p>\n

Con el descubrimiento de nuevos f\u00e1rmacos y conceptos como el modelado, la simulaci\u00f3n y la previsi\u00f3n de pacientes, la IA est\u00e1 llamada a tener un impacto significativo en la calidad de la asistencia sanitaria que recibimos.<\/p>","protected":false},"excerpt":{"rendered":"

Investigadores del Reino Unido probaron una herramienta de inteligencia artificial llamada Foresight, que crea gemelos digitales de pacientes para predecir futuros resultados de salud y tratamiento. La idea de crear gemelos digitales en diversos sectores permite a los ingenieros probar sistemas en una simulaci\u00f3n antes de implantarlos en el mundo f\u00edsico. Herramientas de IA como Foresight lo hacen ahora posible para los profesionales sanitarios. Cada vez que un paciente visita a un profesional sanitario, se a\u00f1ade informaci\u00f3n a su historia cl\u00ednica electr\u00f3nica (HCE). Algunos de estos datos son estructurados (edad, sexo, origen \u00e9tnico), pero la mayor\u00eda son no estructurados, como los resultados de las pruebas o las notas que puede tomar un m\u00e9dico.<\/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":"\nAI 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\/es\/2024\/03\/ai-tool-creates-digital-twins-to-predict-future-patient-health\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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. 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