{"id":3507,"date":"2023-08-02T15:26:09","date_gmt":"2023-08-02T15:26:09","guid":{"rendered":"https:\/\/dailyai.com\/?p=3507"},"modified":"2023-08-02T15:29:40","modified_gmt":"2023-08-02T15:29:40","slug":"ai-shows-promise-in-breast-cancer-screening-study-reveals","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2023\/08\/ai-shows-promise-in-breast-cancer-screening-study-reveals\/","title":{"rendered":"Estudo revela que a IA \u00e9 promissora no rastreio do cancro da mama"},"content":{"rendered":"

De acordo com os resultados de um estudo intercalar publicado por uma equipa de investiga\u00e7\u00e3o sueca, os sistemas de IA podem interpretar \"com seguran\u00e7a\" imagens de rastreio do cancro da mama, demonstrando uma efici\u00eancia semelhante \u00e0 de dois radiologistas.<\/b><\/p>\n

De forma cr\u00edtica, o processo de rastreio baseado em IA reduziu as cargas de trabalho em 44,3%, enquanto<\/span> detetar tumores em mamografias com uma precis\u00e3o semelhante \u00e0 de 2 radiologistas humanos.\u00a0<\/span><\/p>\n

Historicamente, os estudos sobre o papel da IA no diagn\u00f3stico do cancro da mama a partir de mamografias eram retrospectivos, envolvendo a avalia\u00e7\u00e3o de exames j\u00e1 analisados por profissionais m\u00e9dicos.\u00a0<\/span><\/p>\n

Por outro lado, este <\/span>estudo recente<\/span><\/a> \u00e9 um ensaio populacional aleat\u00f3rio e controlado que envolveu mais de 80.000 mulheres suecas, com uma idade m\u00e9dia de 54 anos. <\/span><\/p>\n

Metade das mamografias foram examinadas por 2 radiologistas (como \u00e9 habitual), enquanto a outra metade foi inicialmente avaliada pelo sistema de IA, seguido de avalia\u00e7\u00e3o por 1 ou 2 radiologistas (dependendo da malignidade indicada do tumor, se detectado).\u00a0<\/span><\/p>\n

Os resultados revelaram que 244 mulheres diagnosticadas com cancro foram identificadas atrav\u00e9s do rastreio apoiado pela IA, em compara\u00e7\u00e3o com 203 mulheres detectadas atrav\u00e9s do rastreio normal. <\/span><\/p>\n

Nomeadamente, a utiliza\u00e7\u00e3o da IA n\u00e3o resultou num aumento dos falsos positivos. Registou-se uma diminui\u00e7\u00e3o de 44,3% na carga de trabalho de rastreio dos radiologistas, que \u00e9 o resultado crucial neste caso.\u00a0<\/span><\/p>\n

A Dra. Kristina L\u00e5ng, da Universidade de Lund, na Su\u00e9cia, afirmou, <\/span>\"O maior potencial da IA neste momento \u00e9 o facto de poder permitir que os radiologistas sejam menos sobrecarregados pela quantidade excessiva de leituras.<\/p>\n

\"Embora o nosso sistema de rastreio apoiado por IA exija, pelo menos, um radiologista respons\u00e1vel pela dete\u00e7\u00e3o, poder\u00e1 potencialmente eliminar a necessidade de dupla leitura da maioria das mamografias, aliviando a press\u00e3o sobre as cargas de trabalho e permitindo que os radiologistas se concentrem em diagn\u00f3sticos mais avan\u00e7ados, ao mesmo tempo que reduzem os tempos de espera dos pacientes.\"<\/p>\n

O processo global de identifica\u00e7\u00e3o do cancro a partir de imagens utilizando a IA \u00e9 designado por vis\u00e3o por computador (CV) e estende-se aos raios X, \u00e0s resson\u00e2ncias magn\u00e9ticas e a outros exames. Uma Scanner de resson\u00e2ncia magn\u00e9tica com suporte de IA<\/a> recebeu recentemente autoriza\u00e7\u00e3o da FDA nos EUA.<\/p>\n

Reparti\u00e7\u00e3o do estudo<\/span><\/h2>\n
    \n
  1. Antecedentes do estudo<\/b>: Foi realizado um ensaio aleat\u00f3rio, controlado e de base populacional para avaliar a seguran\u00e7a cl\u00ednica de um protocolo de leitura de ecr\u00e3 apoiado por IA em mamografia, em compara\u00e7\u00e3o com o m\u00e9todo padr\u00e3o de leitura de ecr\u00e3 por radiologistas.<\/span><\/li>\n
  2. M\u00e9todo de ensaio<\/b>: As mulheres eleg\u00edveis com idades compreendidas entre os 40 e os 80 anos de 4 locais de rastreio na Su\u00e9cia foram informadas sobre o estudo. As que n\u00e3o optaram por n\u00e3o participar foram divididas aleatoriamente no grupo de rastreio apoiado por IA (grupo de interven\u00e7\u00e3o) e no grupo de controlo. O sistema de IA forneceu uma pontua\u00e7\u00e3o de risco de malignidade numa escala de 10 n\u00edveis, utilizada para triar os exames de rastreio para leitura \u00fanica ou leitura dupla, com as pontua\u00e7\u00f5es de risco e as marcas de dete\u00e7\u00e3o assistida por computador dispon\u00edveis para os radiologistas que efectuavam o rastreio.<\/span><\/li>\n
  3. Resultados do estudo<\/b>: De abril de 2021 a julho de 2022, 80.033 mulheres foram designadas para rastreio apoiado por IA ou leitura dupla sem IA. O rastreio apoiado por IA resultou em 244 cancros detetados no rastreio, 861 rechamadas e 46 345 leituras de rastreio. O rastreio normal resultou em 203 cancros detectados no rastreio, 817 rechamadas e 83.231 leituras de rastreio. A carga de trabalho de leitura de ecr\u00e3 foi reduzida em 44,3% com a IA.<\/span><\/li>\n<\/ol>\n

    A equipa de investiga\u00e7\u00e3o sueca indicou que ainda \u00e9 muito cedo para implementar esta tecnologia, mas o papel da IA no diagn\u00f3stico m\u00e9dico est\u00e1 bem documentado at\u00e9 \u00e0 data. \u00c9 apenas uma quest\u00e3o de tempo at\u00e9 que o diagn\u00f3stico m\u00e9dico com IA seja implementado em grande escala.\u00a0<\/span><\/p>\n

    O NHS do Reino Unido manifestou interesse no estudo, afirmando que j\u00e1 est\u00e1 a considerar a forma como a IA pode ser utilizada no rastreio mam\u00e1rio para permitir uma an\u00e1lise de imagem r\u00e1pida e em grande escala.\u00a0<\/span>Um porta-voz do NHS England <\/span>disse \u00e0 BBC<\/span><\/a>\"Esta investiga\u00e7\u00e3o \u00e9 muito encorajadora e est\u00e3o em curso planos para avaliar as melhores formas de implementar esta tecnologia no Programa de Rastreio Mam\u00e1rio do NHS\".<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    De acordo com os resultados provis\u00f3rios de um estudo publicado por uma equipa de investiga\u00e7\u00e3o sueca, os sistemas de IA podem interpretar \"com seguran\u00e7a\" imagens de rastreio do cancro da mama, demonstrando uma efici\u00eancia semelhante \u00e0 de dois radiologistas. Em termos cr\u00edticos, o processo de rastreio baseado em IA reduziu as cargas de trabalho em 44,3% e detectou tumores em mamografias com uma precis\u00e3o semelhante \u00e0 de dois radiologistas humanos. Historicamente, os estudos sobre o papel da IA no diagn\u00f3stico do cancro da mama a partir de mamografias eram retrospectivos, envolvendo a avalia\u00e7\u00e3o de exames j\u00e1 examinados por profissionais m\u00e9dicos. Pelo contr\u00e1rio, este estudo recente \u00e9 um ensaio populacional aleat\u00f3rio e controlado que envolveu mais de 80.000 mulheres suecas, com uma m\u00e9dia de idade de 54 anos. Metade das mamografias foram examinadas por 2 radiologistas (como \u00e9 habitual),<\/p>","protected":false},"author":2,"featured_media":3508,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[268,203,108,178,101],"class_list":["post-3507","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-screening","tag-biotech","tag-computer-vision-cv","tag-medicine","tag-medtech"],"yoast_head":"\nAI shows promise in breast cancer screening, study reveals | DailyAI<\/title>\n<meta name=\"description\" content=\"According to interim study results published by a Swedish research team, AI systems can "safely" interpret breast cancer screening images, demonstrating similar efficiency to 2 radiologists.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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