{"id":9285,"date":"2020-08-24T09:28:36","date_gmt":"2020-08-24T14:28:36","guid":{"rendered":"https:\/\/saluddigital.com\/?p=9285"},"modified":"2025-10-21T14:34:38","modified_gmt":"2025-10-21T20:34:38","slug":"instituto-nacional-del-cancer-en-estados-unidos-publico-estudio-sobre-deep-learning-para-la-deteccion-de-cancer-cervico-uterino","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/instituto-nacional-del-cancer-en-estados-unidos-publico-estudio-sobre-deep-learning-para-la-deteccion-de-cancer-cervico-uterino\/","title":{"rendered":"National Cancer Institute published study on deep learning for cervical cancer screening"},"content":{"rendered":"
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A study developed by the US National Cancer Institute (NCI) tested the capability of an Artificial Intelligence (AI) algorithm.<\/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 findings of this study were published in the Journal of the National Cancer Institute, <\/em>titled entitled Accuracy and Efficiency of Deep-Learning\u2013Based Automation of Dual Stain Cytology in Cervical Cancer Screening. <\/em>It aimed to show the automated approach to cervical cancer detection.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/em><\/p>

For the analysis of the data they used CYTOREADER software an AI system for diagnosis by slide scanners, through cytology techniques, based on Google Cloud Platform for which it offers digital file management.<\/p>

The algorithm was trained through deep learning<\/em> for automated evaluation of dual-stained slides (DS, Double-stained<\/em>). To do this, small areas of slides containing an individual number of epithelial cells were used. To train the deep learning algorithm deep learning<\/em>, three researchers manually evaluated the results.<\/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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Through the cloud platform and biopsy-based DS slide-trained algorithm, conventional Pap smears and manual DS were compared in three epidemiological studies of cervical and precancers at Kaiser Permanente Northern California and the University of Oklahoma comprising 4,253 patients. Bilateral statistical tests were used to validate the study.<\/p>

The results showed that automated testing through deep learning<\/em> outperformed the current standard, Pap smear cytology. This could reduce the number of false positives and reduce the number of false positive results and reduce the number of colposcopies will be significantly reduced.<\/p>

The researchers concluded the following on the use of AI: \u201cOur results demonstrate that AI not only provides automation and objectivity but also delivers a substantial benefit for women by reduction of unnecessary colposcopies\u201d. In addition, as a cloud-based system it can be globally accessible for use in health systems.<\/p>

You can learn more about this studies and their results by entering into the open access publication at the following link: https:\/\/academic.oup.com\/jnci\/advance-article\/doi\/10.1093\/jnci\/djaa066\/5862008#204943547<\/a><\/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\tBIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

NIH <\/strong><\/p>

https:\/\/www.nih.gov\/news-events\/news-releases\/ai-dual-stain-approach-improved-accuracy-efficiency-cervical-cancer-screening-nih-study<\/a><\/p>

\u00a0<\/p>

JOURNAL OF THE NATIONAL CANCER INSTITUTE <\/strong><\/p>

https:\/\/academic.oup.com\/jnci\/advance-article\/doi\/10.1093\/jnci\/djaa066\/5862008<\/a><\/p>

\u00a0<\/p>

HEALTH CARE IT NEWS<\/strong><\/p>

https:\/\/www.healthcareitnews.com\/ai-powered-healthcare\/researchers-test-ai-algorithm-cervical-cancer-screening<\/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":"

Un estudio desarrollado por el Instituto Nacional del C\u00e1ncer de EEUU (NCI), prob\u00f3 la capacidad de un algoritmo de Inteligencia Artificial (IA). Los hallazgos de este estudio fueron publicados en el Journal of the National Cancer Institute, titulado Precisi\u00f3n y eficiencia de la automatizaci\u00f3n basada en el aprendizaje profundo de la citolog\u00eda de tinci\u00f3n dual en la detecci\u00f3n del c\u00e1ncer de cuello uterino. Tuvo como objetivo mostrar el enfoque automatizado para la detecci\u00f3n de c\u00e1ncer cervical.                                   Para el an\u00e1lisis de los datos utilizaron el software CYTOREADER un sistema de IA para el diagn\u00f3stico por esc\u00e1neres de portaobjetos, a trav\u00e9s de t\u00e9cnicas de citolog\u00eda, basado en Google Cloud Platform por lo que ofrece la gesti\u00f3n de archivos digitales. El algoritmo fue entrenado a trav\u00e9s de deep learning para la evaluaci\u00f3n automatizada de portaobjetos de doble tinci\u00f3n (DS, Double-stained). Para ello, se utilizaron \u00e1reas peque\u00f1as de portaobjetos que conten\u00edan un n\u00famero individual de c\u00e9lulas epiteliales. Para el entrenamiento del algoritmo deep learning, tres investigadores evaluaron manualmente los resultados. A trav\u00e9s de la plataforma en la nube y el algoritmo entrenado para portaobjetos DS  basado en biopsias se compararon con Papanicolau convencional y DS manual en tres estudios epidemiol\u00f3gicos de prec\u00e1nceres cervicales y anales de La Universidad Northern California y la Universidad de Oklahoma de 4 mil 253 pacientes. Para validar el estudio se utilizaron pruebas estad\u00edsticas bilaterales. Los resultados arrojaron que la prueba automatizada a trav\u00e9s de deep learning super\u00f3 el rendimiento del est\u00e1ndar actual, la citolog\u00eda de Papanicolaou. De esta forma se podr\u00eda reducir el n\u00famero de falsos positivos y reducir el n\u00famero de resultados falsos positivos y el numero de colposcopias se ver\u00e1 reducido significativamente. Los investigadores concluyeron lo siguiente sobre la utilizaci\u00f3n de IA: \u201cNuestros resultados demuestran que la IA no solo proporciona automatizaci\u00f3n y objetividad, sino que tambi\u00e9n ofrece un beneficio sustancial para las mujeres al reducir las colposcopias innecesarias\u201d. Adem\u00e1s, al tratarse de un sistema basado en la nube puede ser accesible a nivel mundial para aplicarlo en sistemas de salud. Puedes conocer m\u00e1s sobre este estudios y sus resultado ingresando a la publicaci\u00f3n de acceso abierto en el siguiente enlace: https:\/\/academic.oup.com\/jnci\/advance-article\/doi\/10.1093\/jnci\/djaa066\/5862008#204943547 BIBLIOGRAF\u00cdA NIH https:\/\/www.nih.gov\/news-events\/news-releases\/ai-dual-stain-approach-improved-accuracy-efficiency-cervical-cancer-screening-nih-study JOURNAL OF THE NATIONAL CANCER INSTITUTE https:\/\/academic.oup.com\/jnci\/advance-article\/doi\/10.1093\/jnci\/djaa066\/5862008 HEALTH CARE IT NEWS https:\/\/www.healthcareitnews.com\/ai-powered-healthcare\/researchers-test-ai-algorithm-cervical-cancer-screening<\/p>","protected":false},"author":1,"featured_media":9286,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3399,156,1418,162],"tags":[1745],"class_list":["post-9285","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-analitica","category-big-data","category-resena-de-publicaciones-cientificas","category-sinopsis-de-publicaciones-recientes","tag-sinopsis-de-publicaciones-recientes"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/9285","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=9285"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/9285\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/9286"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=9285"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=9285"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=9285"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}