{"id":21649,"date":"2021-10-08T09:02:34","date_gmt":"2021-10-08T14:02:34","guid":{"rendered":"https:\/\/saluddigital.com\/?p=21649"},"modified":"2025-10-21T11:54:57","modified_gmt":"2025-10-21T17:54:57","slug":"el-rol-de-la-inteligencia-artificial-contra-el-cancer-de-colon","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/el-rol-de-la-inteligencia-artificial-contra-el-cancer-de-colon\/","title":{"rendered":"The role of Artificial Intelligence against colon cancer"},"content":{"rendered":"
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Artificial Intelligence (AI) is a modern tool for the fight against diseases, through the prevention and improvement of diagnoses of diseases such as 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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The Harvard Gazette interviewed researcher and physician Tyler Berzin, who co-authored a study that showed how deep learning and AI can improve colon cancer screening accuracy.<\/p>

The study by Berzin and colleagues was published by the American Gastroenterological Association (AGA) under the title: Deep learning computer-assisted polyp detection reduces adenoma-missing rate: A randomized tandem colonoscopy study in multiple US centers<\/p>

This study used AI to improve the results of colonoscopy, the most important tool in the fight against colon cancer, however, still insufficient for early detection. "Colonoscopy is the most effective tool to prevent colon cancer, but there is great variability among individual physicians in their ability to detect precancerous polyps," Berzin explained.<\/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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Variability is related to efficacy, and these tests require many professionals, patients, technicians, gastroenterologists. AI can help improve the performance of professionals, as Berzin explains: "Artificial intelligence could act as an additional pair of eyes, without distractions and without fatigue."<\/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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Polyps are very flat, according to the specialist, and are usually mixed with the surrounding mucosa. The AI technology sits between the colonoscope and the endoscopy monitor and processes the image, then the image is processed and transmitted to the monitor, where it alerts where suspicious polyps can be located.<\/p>

Polyps are recognized by a deep learning-based computer vision algorithm. which is also designed to learn to detect certain objects when it has enough information. This has achieved an improvement of 30% in the detection of precancerous polyps.<\/p>

Finally, Berzin explains about the current processes of the Food and Drug Administration (FDA) in the US \u201cThe FDA has just approved the first AI system for the detection of polyps, and it is beginning to be implemented in a handful of centers across the country.\u201d<\/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

THE HARVARD GAZETTE <\/strong><\/p>

https:\/\/news.harvard.edu\/gazette\/story\/2021\/10\/harvard-research-foregrounds-ai-as-colonoscopy-tool\/<\/a><\/p>

AGA<\/strong><\/p>

https:\/\/www.cghjournal.org\/article\/S1542-3565(21)00973-3\/fulltext#relatedArticles<\/a><\/p>

EUREKALERT<\/strong><\/p>

https:\/\/www.eurekalert.org\/news-releases\/928809<\/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":"

La Inteligencia Artificial (IA) es una herramienta moderna para la lucha contra enfermedades, a trav\u00e9s de la prevenci\u00f3n y la mejora de los diagn\u00f3sticos de enfermedades como el c\u00e1ncer. The Harvard Gazette entrevist\u00f3 al investigador y m\u00e9dico Tyler Berzin, quien fue coautor de un estudio que mostr\u00f3 como a trav\u00e9s de aprendizaje profundo e IA es posible mejorar la precisi\u00f3n en las pruebas de detecci\u00f3n de c\u00e1ncer de colon. El estudio de Berzin y sus colegas fue publicado por la Asociaci\u00f3n Americana de Gastroenterolog\u00eda (AGA, en ingl\u00e9s) bajo el t\u00edtulo: Aprendizaje profundo la detecci\u00f3n de p\u00f3lipos asistida por computadora reduce la tasa de falta de adenoma: Un estudio de colonoscopia en t\u00e1ndem aleatorizado en m\u00faltiples centros de EE.UU. Dicho estudio utiliz\u00f3 IA para mejorar los resultados de la colonoscopia, la herramienta m\u00e1s importante en la lucha contra el c\u00e1ncer de colon, sin embargo, todav\u00eda insuficiente para la detecci\u00f3n tempana. \u201cLa colonoscopia es la herramienta m\u00e1s eficaz para prevenir el c\u00e1ncer de colon, pero existe una gran variabilidad entre los m\u00e9dicos individuales en su capacidad para detectar p\u00f3lipos precancerosos\u201d, explic\u00f3 Berzin. La variabilidad se relaciona con la eficacia, y estas pruebas requieren de muchos profesionales, enfermos, t\u00e9cnicos, gastroenter\u00f3logos. La IA, puede ayudar a mejorar el rendimiento de los profesionales, seg\u00fan explica Berzin: \u201cLa inteligencia artificial podr\u00eda actuar como un par de ojos adicional, sin distracciones y sin fatiga\u201d. Los p\u00f3lipos son muy planos, seg\u00fan explica el especialista, y suelen mezclares con la mucosa circundante. La tecnolog\u00eda de IA se encuentra entre el colonoscopio y el monitor de endoscopia y procesa la imagen, posteriormente la imagen es procesada y se transmite en el monitor, donde se alerta donde se pueden ubicar los p\u00f3lipos sospechosos. Los p\u00f3lipos son reconocidos por un algoritmo de visi\u00f3n por computadora basado en aprendizaje profundo. que adem\u00e1s est\u00e1 dise\u00f1ado para aprender a detectar ciertos objetos cuando tiene suficiente informaci\u00f3n. Esto ha logrado una mejora de 30% en la detecci\u00f3n de p\u00f3lipos pre cancer\u00edgenos. Finalmente, Berzin explica sobre los procesos actuales de la Administraci\u00f3n de Medicamentos y Alimentos (FDA, en ingl\u00e9s), en EE.UU. “La FDA acaba de aprobar el primer sistema de IA para la detecci\u00f3n de p\u00f3lipos, y est\u00e1 comenzando a implementarse en un pu\u00f1ado de centros en todo el pa\u00eds”. BIBLIOGRAF\u00cdA THE HARVARD GAZETTE https:\/\/news.harvard.edu\/gazette\/story\/2021\/10\/harvard-research-foregrounds-ai-as-colonoscopy-tool\/ AGA https:\/\/www.cghjournal.org\/article\/S1542-3565(21)00973-3\/fulltext#relatedArticles EUREKALERT https:\/\/www.eurekalert.org\/news-releases\/928809<\/p>","protected":false},"author":1,"featured_media":21650,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393,160],"tags":[145],"class_list":["post-21649","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\/21649","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=21649"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/21649\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/21650"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=21649"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=21649"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=21649"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}