{"id":12674,"date":"2021-03-03T09:30:14","date_gmt":"2021-03-03T15:30:14","guid":{"rendered":"https:\/\/saluddigital.com\/?p=12674"},"modified":"2025-10-21T12:58:46","modified_gmt":"2025-10-21T18:58:46","slug":"inteligencia-artificial-para-la-deteccion-de-cancer-de-mama","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/plataformas-digitales\/inteligencia-artificial-para-la-deteccion-de-cancer-de-mama\/","title":{"rendered":"Artificial Intelligence for Breast Cancer Detection"},"content":{"rendered":"
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Google Health and Northwestern Medicine, have worked on clinical research exploring Artificial Intelligence models, to reduce breast cancer diagnosis time. <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Google Health in collaboration with Northwestern University School of Medicine, have developed research to explore the effectiveness of Artificial Intelligence models and whether they can reduce the time to diagnosis in women who show results that would indicate a high likelihood of breast cancer.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\u201cThe trial will evaluate if investigational AI models could help by prioritizing radiologist review of mammogram images with a higher suspicion of breast cancer,\u201d explains the Northwestern Medicine release.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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This technique would reduce diagnosis times, since according to the same university, in the United States 10 to 15% of women who undergo a mammogram return to the clinic for further diagnosis, which is usually takes more time. \u201cThe AI model is trained to quickly find the mammograms which need further review and prioritize these for the radiologist to review. Women whose mammograms show a higher likelihood of breast cancer might be able to be seen the same day for follow up,\u201d the university explains. In this way through AI, they seek to reduce waiting times for a possible cancer diagnosis.<\/p>

Research published in November 2020, which was funded by Google, showed that the models showed better or similar accuracy to that of medical specialists. \" ith the use of artificial intelligence, we hope to expedite the process to diagnosis of breast cancer by identifying suspicious findings on patients\u2019 screening examinations earlier than the standard of care,\" said lead investigator Dr. Sarah Friedewald, professor of radiology at Northwestern University School of Medicine.<\/p>

Dr. Friedewald explains that detecting cancer earlier can result in easier and save the lives of more patients.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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GOOGLE HEALTH<\/strong><\/p>

https:\/\/www.blog.google\/technology\/health\/artificial-intelligence-breast-cancer-screening\/<\/a><\/p>

\u00a0<\/p>

NORTHWESTERN MEDICINE<\/strong><\/p>

https:\/\/news.northwestern.edu\/stories\/2021\/02\/artificial-intelligence-breast-cancer&fj=1<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Google Health y Northwestern Medicine, han trabajado en una investigaci\u00f3n cl\u00ednica que explora modelos de Inteligencia Artificial, para reducir el tiempo de diagn\u00f3stico de c\u00e1ncer de mama. Google Health en colaboraci\u00f3n con la facultad de medicina de la Northwestern University, han desarrollado investigaciones para explorar la eficacia de los modelos de Inteligencia Artificial y si estos pueden reducir el tiempo de diagn\u00f3stico en mujeres que muestran resultados que indicar\u00edan una alta posibilidad de padecer c\u00e1ncer de mama. “El ensayo evaluar\u00e1 si los modelos de IA en investigaci\u00f3n podr\u00edan ayudar al priorizar la revisi\u00f3n del radi\u00f3logo de las im\u00e1genes de mamograf\u00edas con una mayor sospecha de c\u00e1ncer de mama”, explica el comunicado de Northwestern Medicine. Esta t\u00e9cnica permitir\u00eda reducir los tiempos de diagn\u00f3stico, pues seg\u00fan la misma universidad, en Estados Unidos del 10 al 15% de las mujeres que se realizan una mamograf\u00eda, regresan la cl\u00ednica por un diagn\u00f3stico adicional, que suele ser m\u00e1s tardado. “El modelo de IA est\u00e1 capacitado para encontrar r\u00e1pidamente las mamograf\u00edas que necesitan m\u00e1s revisi\u00f3n y priorizarlas para que las revise el radi\u00f3logo. Las mujeres cuyas mamograf\u00edas muestran una mayor probabilidad de c\u00e1ncer de mama podr\u00edan ser examinadas el mismo d\u00eda para un seguimiento”, explica la universidad. De esta forma a trav\u00e9s de IA, buscan reducir los tiempos de espera en un posible diagn\u00f3stico de c\u00e1ncer. La investigaci\u00f3n publicada en noviembre de 2020, que fue financiada por Google, demostr\u00f3 que los modelos mostraron una precisi\u00f3n mejor o similar a la de los especialistas m\u00e9dicos. “Con el uso de inteligencia artificial, esperamos acelerar el proceso de diagn\u00f3stico de c\u00e1ncer de mama identificando hallazgos sospechosos en los ex\u00e1menes de detecci\u00f3n de los pacientes antes que el est\u00e1ndar de atenci\u00f3n”, dijo la investigadora principal, la Dra. Sarah Friedewald, profesora de radiolog\u00eda en Facultad de Medicina de la Northwestern University. La Dra. Friedewald, explica que la detecci\u00f3n del c\u00e1ncer de forma anticipada puede resultar en un tratamiento m\u00e1s f\u00e1cil y que logre salvar la vida de los pacientes. BIBLIOGRAF\u00cdA GOOGLE HEALTH https:\/\/www.blog.google\/technology\/health\/artificial-intelligence-breast-cancer-screening\/ NORTHWESTERN MEDICINE https:\/\/news.northwestern.edu\/stories\/2021\/02\/artificial-intelligence-breast-cancer&fj=1<\/p>","protected":false},"author":1,"featured_media":12675,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3399,154,153,1418],"tags":[145],"class_list":["post-12674","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-analitica","category-comunidades-conectadas","category-plataformas-digitales","category-resena-de-publicaciones-cientificas","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/12674","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=12674"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/12674\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/12675"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=12674"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=12674"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=12674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}