{"id":2011,"date":"2023-06-23T20:50:29","date_gmt":"2023-06-23T20:50:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=2011"},"modified":"2023-06-23T21:22:42","modified_gmt":"2023-06-23T21:22:42","slug":"the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/06\/the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools\/","title":{"rendered":"El NHS brit\u00e1nico anuncia planes para implantar herramientas de diagn\u00f3stico del c\u00e1ncer de pulm\u00f3n basadas en IA"},"content":{"rendered":"

El Servicio Nacional de Salud est\u00e1 desplegando herramientas de diagn\u00f3stico del c\u00e1ncer basadas en IA a escala nacional, lo que demuestra la capacidad de la tecnolog\u00eda para acelerar el diagn\u00f3stico del c\u00e1ncer.<\/b>\u00a0<\/span><\/p>\n

En un anuncio reciente<\/a>El Servicio Nacional de Salud del Reino Unido (NHS) utilizar\u00e1 la IA para analizar radiograf\u00edas en el marco de una iniciativa de 21 millones de libras destinada a acelerar el diagn\u00f3stico del c\u00e1ncer y reducir los tiempos de espera.<\/span><\/p>\n

Las herramientas de diagn\u00f3stico m\u00e9dico basadas en IA han ido ganando terreno. A lo largo de la d\u00e9cada de 2010, los modelos de visi\u00f3n por ordenador (CV) de IA demostraron su capacidad para interpretar esc\u00e1neres m\u00e9dicos de forma similar a los humanos. En 2018, investigadores de DeepMind, la UCL y el Moorfields Eye Hospital ha desarrollado un innovador modelo de IA<\/a> diagnosticar 50 enfermedades oculares con la misma precisi\u00f3n que un m\u00e9dico. <\/span><\/p>\n

A partir de ah\u00ed, las im\u00e1genes y los diagn\u00f3sticos m\u00e9dicos asistidos por IA han evolucionado r\u00e1pidamente, con numerosos modelos que han demostrado una precisi\u00f3n superior a la de los especialistas humanos.\u00a0<\/span><\/p>\n

A diferencia de los radi\u00f3logos, a menudo sobrecargados de trabajo, las IA trabajan sin descanso, aliviando la carga de los equipos humanos y permiti\u00e9ndoles ofrecer una atenci\u00f3n y un tratamiento mejores.\u00a0<\/span><\/p>\n

El viernes, el Secretario de Sanidad del Reino Unido, Steve Barclay <\/span>planes anunciados<\/span><\/a> para desplegar diagn\u00f3sticos m\u00e9dicos asistidos por IA para el c\u00e1ncer de pulm\u00f3n antes del invierno de este a\u00f1o. M\u00e1s de 20 centros del NHS ya han empezado a aplicar esta tecnolog\u00eda, cuyos resultados preliminares indican que puede ser 40 veces m\u00e1s precisa que las t\u00e9cnicas tradicionales y arrojar resultados en menos de 30 segundos. En Inglaterra se realizan m\u00e1s de 600.000 radiograf\u00edas al mes.<\/span><\/p>\n

Adem\u00e1s, los hospitales empezar\u00e1n a aplicar la tecnolog\u00eda de IA para el diagn\u00f3stico de ictus, lo que har\u00e1 que los pacientes reciban tratamiento una hora antes de media y triplicar\u00e1 la tasa de recuperaci\u00f3n.<\/span><\/p>\n

Barclay ha declarado: \"La inteligencia artificial ya est\u00e1 transformando la forma en que prestamos asistencia sanitaria, y las herramientas de IA ya est\u00e1n teniendo un impacto significativo en todo el NHS a la hora de diagnosticar afecciones antes, lo que significa que las personas pueden ser tratadas m\u00e1s r\u00e1pidamente.\"<\/span><\/p>\n

Las autoridades sanitarias esperan que la IA y otras tecnolog\u00edas ayuden al sistema sanitario brit\u00e1nico a aliviar los retrasos y la presi\u00f3n sobre el personal.<\/span><\/p>\n

El director m\u00e9dico nacional del NHS, el profesor Stephen Powis, a\u00f1adi\u00f3: \"El NHS ya est\u00e1 aprovechando las ventajas de la IA en todo el pa\u00eds para ayudar a detectar y tratar antes las principales enfermedades, as\u00ed como a gestionar mejor las listas de espera para que los pacientes puedan ser atendidos m\u00e1s r\u00e1pidamente.\"<\/span><\/p>\n

C\u00f3mo se utiliza la IA en el diagn\u00f3stico m\u00e9dico<\/span><\/h2>\n

Las redes neuronales convolucionales (CNN) de IA, una forma de modelo de aprendizaje profundo, est\u00e1n transformando el diagn\u00f3stico m\u00e9dico. Interpretar los esc\u00e1neres no es tarea f\u00e1cil, y <\/span>los estudios observan tasas de error<\/span><\/a> de alrededor de 3 a 5% o superior cuando los radi\u00f3logos est\u00e1n fatigados o con exceso de trabajo.\u00a0<\/span><\/p>\n

Los modelos CNN funcionan de forma similar a las neuronas del cerebro humano, discerniendo caracter\u00edsticas fundamentales de las exploraciones, como bordes o texturas, y reconociendo patrones m\u00e1s complejos, como la forma y el tama\u00f1o distintos de los n\u00f3dulos pulmonares que podr\u00edan indicar c\u00e1ncer.\u00a0<\/span><\/p>\n

Uno de los primeros grandes avances en la obtenci\u00f3n de im\u00e1genes m\u00e9dicas con ayuda de la IA fue el <\/span>Concurso LUNA16 (LUng Nodule Analysis 2016)<\/span><\/a>donde los participantes desarrollaron m\u00e9todos para identificar y diagnosticar c\u00e1nceres de pulm\u00f3n a partir de im\u00e1genes de rayos X y TAC.\u00a0<\/span><\/p>\n

\"AI
N\u00f3dulos pulmonares detectados por IA. Fuente: Naturaleza<\/a>.<\/figcaption><\/figure>\n

Muchos de los algoritmos que surgieron de este concurso igualaban -o superaban- las capacidades de diagn\u00f3stico de radi\u00f3logos entrenados.<\/span><\/p>\n

Poco despu\u00e9s, DeepMind, de Google, se convirti\u00f3 en el principal innovador en el campo de las im\u00e1genes m\u00e9dicas con IA, aplicando la tecnolog\u00eda en campos como la detecci\u00f3n de enfermedades oculares y el cribado del c\u00e1ncer de mama. <\/span>DeepMind <\/span>Alphafold<\/span><\/a> utiliza el modelado 3D basado en IA para comprender mejor el funcionamiento de las prote\u00ednas y acelerar la investigaci\u00f3n del c\u00e1ncer.<\/span><\/p>\n

Ahora, el NHS espera demostrar c\u00f3mo la tecnolog\u00eda m\u00e9dica de IA de vanguardia puede implantarse en sistemas sanitarios completos.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

El NHS est\u00e1 desplegando herramientas de diagn\u00f3stico del c\u00e1ncer con IA a escala nacional, lo que demuestra la capacidad de la tecnolog\u00eda para acelerar el diagn\u00f3stico del c\u00e1ncer. En un anuncio reciente, el Servicio Nacional de Salud del Reino Unido (NHS) utilizar\u00e1 IA para analizar radiograf\u00edas como parte de una iniciativa de 21 millones de libras para acelerar el diagn\u00f3stico del c\u00e1ncer y reducir los tiempos de espera. Las herramientas de diagn\u00f3stico m\u00e9dico basadas en IA han ido viento en popa. A lo largo de la d\u00e9cada de 2010, los modelos de visi\u00f3n por ordenador (CV) de IA demostraron su capacidad para interpretar esc\u00e1neres m\u00e9dicos de forma similar a los humanos. En 2018, investigadores de DeepMind, UCL y Moorfields Eye Hospital desarrollaron un modelo de IA revolucionario para diagnosticar 50 enfermedades oculares con la misma precisi\u00f3n que<\/p>","protected":false},"author":2,"featured_media":2012,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,101],"class_list":["post-2011","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-medtech"],"yoast_head":"\nThe UK NHS announces plans to deploy AI-powered lung cancer diagnosis tools | DailyAI<\/title>\n<meta name=\"description\" content=\"Healthcare providers are rolling out AI technologies nationally, demonstrating the technology\u2019s ability to accelerate cancer diagnosis.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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