{"id":24957,"date":"2022-04-25T08:48:08","date_gmt":"2022-04-25T13:48:08","guid":{"rendered":"https:\/\/saluddigital.com\/?p=24957"},"modified":"2025-10-21T09:33:37","modified_gmt":"2025-10-21T15:33:37","slug":"solucion-basada-en-inteligencia-artificial-mejoraria-el-diagnostico-de-cancer-de-mama","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/solucion-basada-en-inteligencia-artificial-mejoraria-el-diagnostico-de-cancer-de-mama\/","title":{"rendered":"Solution based on Artificial Intelligence would improve the diagnosis of breast cancer"},"content":{"rendered":"
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The Hartford HealthCare hospital system will conduct a study to evaluate the use of a tool based on Artificial Intelligence (AI), which facilitates the work of professionals in the detection of breast cancer.<\/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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Hartford HealthCare is a comprehensive health care system that has more than 400 health centers in the United States, serving approximately 17,000 patients daily. Together with Ibex Medical Analytics, a company specializing in cancer diagnosis through AI technologies, they have announced a clinical study on their AI solution for diagnosing breast cancer.<\/p>

The Ibex system seeks to help doctors improve the diagnosis of this disease through an algorithm. Galen Breast as the system is called, was developed by software engineers, pathologists, and data scientists, who implemented advanced technology such as algorithms and deep learning.<\/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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The performance of the system will be evaluated by Hartford HealthCare through a retrospective study to test its clinical use in the hospital system. "The solution promises to have a major impact on the care provided to breast cancer patients," said Dr. Barry Stein, system vice president and chief clinical innovation officer for Hartford HealthCare. In addition, he highlighted the need for commitment to seek new innovative approaches to patient care.<\/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

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Dr. Srini Mandavilli, chief of pathology and laboratory medicine at Hartford Hospital, explained that Galen Breast technology supports traditional microscopic evaluations of cancer diagnoses by pathologists. Dee this way, is complemented by the work done by these specialists.<\/p>

Also, in the Hartford system, they have digitized the pathology department, for example, through the use of slide scanners, which can be evaluated by AI technology.<\/p>

For her part, Dr. Margaret Assad, director of the selective pathology fellowship program at Hartford Hospital, explained that, "This AI assistant provides a greater safety net with minimal additional effort."<\/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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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

HARTFORD HEALTHCARE<\/strong><\/p>

https:\/\/hartfordhealthcare.org\/services\/cancer-care\/about-us\/news\/news-detail?articleId=39616<\/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":"

El sistema de hospitales Hartford HealthCare, realizar\u00e1 un estudio para evaluar el uso de una herramienta basada en Inteligencia Artificial (IA), que facilita el trabajo a profesionales en la detecci\u00f3n del c\u00e1ncer de mama. Hartford HealthCare, es un sistema de atenci\u00f3n m\u00e9dica integral que cuenta con m\u00e1s de 400 centros de salud en Estados Unidos, con atenci\u00f3n diaria a 17 mil pacientes aproximadamente.  En conjunto con Ibex Medical Analytics, compa\u00f1\u00eda especializada en el diagn\u00f3stico de c\u00e1ncer a trav\u00e9s de tecnolog\u00edas de IA, han anunciado un estudio cl\u00ednico sobre su soluci\u00f3n de IA para el diagn\u00f3stico de c\u00e1ncer de mama. El sistema de Ibex, busca ayudar a m\u00e9dicos a mejorar el diagn\u00f3stico de esta enfermedad a trav\u00e9s de un algoritmo. Galen Breast como se llama el sistema, fue desarrollado por ingenieros de software, pat\u00f3logos y cient\u00edficos de datos, quienes implementaron tecnolog\u00eda avanzada como algoritmos y aprendizaje profundo. El rendimiento del sistema ser\u00e1 evaluado por Hartford HealthCare a trav\u00e9s de un estudio retrospectivo para probar su uso cl\u00ednico en el sistema hospitalario. \u201cLa soluci\u00f3n promete tener un gran impacto en la atenci\u00f3n brindada a los pacientes con c\u00e1ncer de mama\u201d, explic\u00f3 el Dr. Barry Stein, vicepresidente del sistema y director de innovaci\u00f3n cl\u00ednica de Hartford HealthCare. Adem\u00e1s, resalt\u00f3 la necesidad del compromiso para buscar nuevos enfoques innovadores para la atenci\u00f3n de las pacientes. La Dra. Srini Mandavilli, jefa de patolog\u00eda y medicina de laboratorio en el Hospital Hartford, explic\u00f3 que la tecnolog\u00eda de Galen Breast, permite respaldar las evaluaciones microscopios tradicionales de los diagn\u00f3sticos de c\u00e1ncer realizados por pat\u00f3logos. Dee esta forma, se complementa por el trabajo realizado por estos especialistas. Adem\u00e1s, en el sistema de Hartford, han digitalizado el departamento de patolog\u00eda, por ejemplo, a trav\u00e9s del uso de esc\u00e1neres de portaobjetos, que pueden ser evaluado por tecnolog\u00eda de IA. Por su parte, la Dra. Margaret Assad, directora del programa de becas de patolog\u00eda selectiva en el Hospital de Hartford, explic\u00f3 que, \u201cEste asistente de IA proporciona una mayor red de seguridad con un m\u00ednimo esfuerzo adicional\u201d. BIBLIOGRAF\u00cdA HARTFORD HEALTHCARE https:\/\/hartfordhealthcare.org\/services\/cancer-care\/about-us\/news\/news-detail?articleId=39616<\/p>","protected":false},"author":1,"featured_media":24959,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393,160],"tags":[145],"class_list":["post-24957","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-inteligencia-artificial-y-ciencia","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/24957","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=24957"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/24957\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/24959"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=24957"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=24957"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=24957"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}