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Artificial intelligence in gynecopathology: advances, challenges and perspectives

Year: 2026

Type: article

Abstract: Artificial intelligence (AI) has already been studied not only in histological subtypes between benign and malignant tumors, but also for prognosis and prediction for therapeutic purposes, focusing on molecular alterations and assessment of the tumor microenvironment. This is a comprehensive review to address the current landscape of AI’s contribution in gynecological pathology to improve diagnostic accuracy, streamline analysis, and standardize histopathological evaluation. This review also provides evidence on the implementation of AI in this field of Pathology, with emphasis on three anatomopathological domains: endometrium, ovary, and cervix.

Source: Surgical and Experimental Pathology

DOI: 10.1186/s42047-026-00234-7

Authors: Lívia Ribeiro Gondim, Janaína Nagel, Patrícia Sodré Dias Barreto, Aline Lima da Silva, Camila Sampaio Tomé Veloso-de-Araújo, Ana Cristina Caldeira, Vinicius Barros Figueiredo, Débora Maíra Barros Luz, Rafael Bispo Paschoalini, Isabela Conde Watanabe, Rozany Mucha Dufloth

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7153236956

FWCI:

Cites: 36

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