{"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\/pt\/2023\/06\/the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools\/","title":{"rendered":"O NHS do Reino Unido anuncia planos para implementar ferramentas de diagn\u00f3stico do cancro do pulm\u00e3o baseadas em IA"},"content":{"rendered":"

O Servi\u00e7o Nacional de Sa\u00fade (NHS) est\u00e1 a lan\u00e7ar ferramentas de diagn\u00f3stico do cancro com IA a n\u00edvel nacional, demonstrando a capacidade da tecnologia para acelerar o diagn\u00f3stico do cancro.<\/b>\u00a0<\/span><\/p>\n

Num an\u00fancio recente<\/a>O Servi\u00e7o Nacional de Sa\u00fade (NHS) do Reino Unido vai utilizar a IA para analisar as radiografias, no \u00e2mbito de uma iniciativa de 21 milh\u00f5es de libras para acelerar o diagn\u00f3stico do cancro e reduzir os tempos de espera.<\/span><\/p>\n

As ferramentas de diagn\u00f3stico m\u00e9dico alimentadas por IA t\u00eam vindo a ganhar cada vez mais for\u00e7a. Ao longo da d\u00e9cada de 2010, os modelos de vis\u00e3o computacional (CV) da IA demonstraram a sua capacidade de interpretar exames m\u00e9dicos de forma semelhante aos humanos. Em 2018, investigadores da DeepMind, da UCL e do Moorfields Eye Hospital desenvolveu um modelo inovador de IA<\/a> para diagnosticar 50 doen\u00e7as oculares com a mesma exatid\u00e3o que um m\u00e9dico. <\/span><\/p>\n

A partir da\u00ed, a imagiologia e o diagn\u00f3stico m\u00e9dico apoiados pela IA evolu\u00edram rapidamente, com numerosos modelos a demonstrarem uma precis\u00e3o superior \u00e0 dos especialistas humanos.\u00a0<\/span><\/p>\n

Ao contr\u00e1rio dos radiologistas, muitas vezes sobrecarregados de trabalho, as IA trabalham incansavelmente, aliviando a carga das equipas humanas e permitindo-lhes prestar melhores cuidados e tratamentos.\u00a0<\/span><\/p>\n

Na sexta-feira, o Secret\u00e1rio da Sa\u00fade do Reino Unido, Steve Barclay <\/span>planos anunciados<\/span><\/a> para a implementa\u00e7\u00e3o de diagn\u00f3sticos m\u00e9dicos assistidos por IA para o cancro do pulm\u00e3o antes do inverno deste ano. Mais de 20 centros do Servi\u00e7o Nacional de Sa\u00fade (NHS) j\u00e1 come\u00e7aram a implementar esta tecnologia, com resultados preliminares que indicam que pode ser 40 vezes mais precisa do que as t\u00e9cnicas tradicionais, produzindo resultados em menos de 30 segundos. Mais de 600 000 radiografias s\u00e3o efectuadas mensalmente em Inglaterra.<\/span><\/p>\n

Al\u00e9m disso, os hospitais come\u00e7ar\u00e3o a implementar a tecnologia de IA para o diagn\u00f3stico de acidentes vasculares cerebrais, o que far\u00e1 com que os doentes recebam tratamento cerca de uma hora mais cedo, em m\u00e9dia, e triplicar\u00e1 a taxa de recupera\u00e7\u00e3o.<\/span><\/p>\n

Barclay afirmou: \"A intelig\u00eancia artificial j\u00e1 est\u00e1 a transformar a forma como prestamos cuidados de sa\u00fade e as ferramentas de IA j\u00e1 est\u00e3o a ter um impacto significativo em todo o NHS no diagn\u00f3stico precoce de doen\u00e7as, o que significa que as pessoas podem ser tratadas mais rapidamente\".<\/span><\/p>\n

Os respons\u00e1veis pela sa\u00fade esperam que a IA e outras tecnologias ajudem o sistema de sa\u00fade do Reino Unido a reduzir os atrasos e a press\u00e3o sobre o pessoal.<\/span><\/p>\n

O diretor m\u00e9dico nacional do NHS, Professor Stephen Powis, acrescentou: \"O NHS j\u00e1 est\u00e1 a aproveitar os benef\u00edcios da IA em todo o pa\u00eds, ajudando a detetar e a tratar mais cedo as principais doen\u00e7as, bem como a gerir melhor as listas de espera para que os doentes possam ser vistos mais rapidamente\".<\/span><\/p>\n

Como \u00e9 que a IA \u00e9 utilizada nos diagn\u00f3sticos m\u00e9dicos<\/span><\/h2>\n

As Redes Neuronais Convolucionais (CNN) de IA, uma forma de modelo de aprendizagem profunda, est\u00e3o a transformar os diagn\u00f3sticos m\u00e9dicos. A interpreta\u00e7\u00e3o de exames n\u00e3o \u00e9 uma tarefa f\u00e1cil, e <\/span>estudos observam taxas de erro<\/span><\/a> de cerca de 3 a 5% ou superior quando os radiologistas est\u00e3o fatigados ou com excesso de trabalho.\u00a0<\/span><\/p>\n

Os modelos CNN funcionam de forma semelhante aos neur\u00f3nios do c\u00e9rebro humano, discernindo caracter\u00edsticas fundamentais dos exames, como arestas ou texturas, e reconhecendo padr\u00f5es mais complexos, como a forma e o tamanho distintos dos n\u00f3dulos pulmonares que podem indicar cancro.\u00a0<\/span><\/p>\n

Um dos primeiros grandes avan\u00e7os na imagiologia m\u00e9dica apoiada pela IA foi o <\/span>Concurso LUNA16 (LUng Nodule Analysis 2016)<\/span><\/a>onde os participantes desenvolveram m\u00e9todos de identifica\u00e7\u00e3o e diagn\u00f3stico de cancros do pulm\u00e3o a partir de imagens de raios X e de TAC.\u00a0<\/span><\/p>\n

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

Muitos dos algoritmos que emergiram desta competi\u00e7\u00e3o igualaram - ou excederam - as capacidades de diagn\u00f3stico de radiologistas treinados.<\/span><\/p>\n

Pouco depois, a DeepMind da Google emergiu como principal inovadora na imagiologia m\u00e9dica com IA, aplicando a tecnologia em dom\u00ednios como a dete\u00e7\u00e3o de doen\u00e7as oculares e o rastreio do cancro da mama. <\/span>O projeto DeepMind <\/span>Alphafold<\/span><\/a> utiliza modela\u00e7\u00e3o 3D baseada em IA para aprofundar a nossa compreens\u00e3o do funcionamento das prote\u00ednas, acelerando a investiga\u00e7\u00e3o sobre o cancro.<\/span><\/p>\n

Agora, o NHS espera demonstrar como a tecnologia m\u00e9dica de IA de ponta pode ser implementada em sistemas de sa\u00fade completos.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

O NHS est\u00e1 a lan\u00e7ar ferramentas de IA para o diagn\u00f3stico do cancro a n\u00edvel nacional, demonstrando a capacidade da tecnologia para acelerar o diagn\u00f3stico do cancro. Num an\u00fancio recente, o Servi\u00e7o Nacional de Sa\u00fade (NHS) do Reino Unido utilizar\u00e1 a IA para analisar radiografias como parte de uma iniciativa de 21 milh\u00f5es de libras para acelerar o diagn\u00f3stico do cancro e reduzir os tempos de espera. As ferramentas de diagn\u00f3stico m\u00e9dico alimentadas por IA t\u00eam vindo a desenvolver-se cada vez mais. Ao longo da d\u00e9cada de 2010, os modelos de vis\u00e3o computacional (CV) da IA demonstraram sua capacidade de interpretar exames m\u00e9dicos de forma semelhante aos humanos. Em 2018, investigadores da DeepMind, da UCL e do Moorfields Eye Hospital desenvolveram um modelo inovador de IA para diagnosticar 50 doen\u00e7as oculares com a mesma precis\u00e3o que os humanos.<\/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\" 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