{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T13:47:15Z","timestamp":1773323235320,"version":"3.50.1"},"reference-count":33,"publisher":"Instituto Nacional de Salud (Colombia)","issue":"Sp. 3","license":[{"start":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T00:00:00Z","timestamp":1765324800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T00:00:00Z","timestamp":1765324800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["revistabiomedica.org"],"crossmark-restriction":false},"short-container-title":["Biomed."],"abstract":"<jats:p>Introducci\u00f3n. La citolog\u00eda convencional (prueba de Papanicolaou) contin\u00faa siendo un pilar del tamizaje del c\u00e1ncer cervicouterino en Colombia, pero su utilidad se ve opacada por una gran carga laboral y bajo rendimiento diagn\u00f3stico. El uso de la inteligencia artificial puede proveer una soluci\u00f3n a este problema, sin embargo, no hay estudios que eval\u00faen su utilidad en nuestra poblaci\u00f3n.Objetivo. Evaluar y comparar la capacidad discriminativa de cuatro modelos de inteligencia artificial para detectar anormalidades en la citolog\u00eda cervicouterina.Materiales y m\u00e9todos. Se obtuvieron 650 im\u00e1genes de c\u00e9lulas de citolog\u00eda cervicouterina convencional de una poblaci\u00f3n universitaria del nororiente colombiano, las cuales fueron sometidas a evaluaci\u00f3n diagn\u00f3stica por un pat\u00f3logo experto. Mediante el an\u00e1lisis de im\u00e1genes digitales y aprendizaje profundo, se entrenaron cuatro modelos de inteligencia artificial (DenseNet, InceptionV3, MobileNet y VGG19) con los datos de una base de citolog\u00eda de acceso p\u00fablico, determinando la capacidad discriminativa de los modelos con su respectiva sensibilidad, especificidad y \u00e1rea bajo la curva.Resultados. MobileNet tuvo la mejor capacidad discriminativa [\u00e1rea bajo la curva (AUC) de 0,97) con una especificidad del 0,99 y sensibilidad de 0,78 para la detecci\u00f3n de alteraciones en la citolog\u00eda cervicouterina. Por otro lado, InceptionV3 tuvo un mejor desempe\u00f1o en el tamizaje, con sensibilidad del 0,93, especificidad de 0,82 y \u00e1rea bajo la curva de 0,947.Conclusiones. Nuestros resultados ilustran las ventajas y desventajas de diferentes modelos de inteligencia artificial y la forma como podr\u00edan ayudar a mejorar el rendimiento del tamizaje con citolog\u00eda convencional o, incluso, servir como m\u00e9todo de tamizaje primario para descartar los casos negativos, logr\u00e1ndose un desempe\u00f1o diagn\u00f3stico comparable con el de la lectura convencional.<\/jats:p>","DOI":"10.7705\/biomedica.7651","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T13:44:44Z","timestamp":1766065484000},"page":"24-36","update-policy":"https:\/\/doi.org\/10.7705\/crossmark","source":"Crossref","is-referenced-by-count":0,"title":["Uso de la inteligencia artificial en el diagn\u00f3stico de alteraciones de la citolog\u00eda cervicouterina: estudio observacional en poblaci\u00f3n universitaria","Use of artificial intelligence in the diagnosis of alterations in cervical cytology: A university population-based observational study"],"prefix":"10.7705","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6883-3424","authenticated-orcid":false,"given":"Jose Said","family":"Manzano-Chaya","sequence":"first","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Patolog\u00eda Estructural, Funcional y Cl\u00ednica, Departamento de Patolog\u00eda, Universidad Industrial de Santander, Bucaramanga, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0827-5426","authenticated-orcid":false,"given":"Tania","family":"Mendoza-Herrera","sequence":"additional","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Patolog\u00eda Estructural, Funcional y Cl\u00ednica, Departamento de Patolog\u00eda, Universidad Industrial de Santander, Bucaramanga, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2074-0108","authenticated-orcid":false,"given":"Ernesto","family":"Garc\u00eda-Ayala","sequence":"additional","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Patolog\u00eda Estructural, Funcional y Cl\u00ednica, Departamento de Patolog\u00eda, Universidad Industrial de Santander, Bucaramanga, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"4444","published-online":{"date-parts":[[2025,12,10]]},"reference":[{"key":"156176","unstructured":"World Health Organization. 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