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<p>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.</p>

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Artificial intelligence in gynecopathology: advances, challenges and perspectives

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月10日

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  • 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

摘要

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.