Artificial Intelligence in Gynecologic Cytology.

Journal: Acta cytologica
Published Date: Jul 8, 2025

Abstract

BACKGROUND: Cervical cancer is the fourth most common cancer in women globally with highest incidence and mortality identified in less developed and medically underserved areas in the world. The diminishing cytology workforce, unavailability of expert consultation, and the high volume of Pap tests needing manual screening are the main reasons for exploring innovative solutions to help mitigate the negative effects resulting from the dearth of timely cervical cancer screening in certain population groups.

Authors

  • Lakshmi Harinath
    Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Xinru Bai
    Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of Gynecological Disease's Early Diagnosis, Zhengzhou, China.
  • Jeremy Minkowitz
    Department of Pathology, SUNY (State University of New York) Downstate Medical Center, Brooklyn.
  • Xianxu Zeng
  • Sarah Harrington
    Scientific Affairs, Hologic, Inc, Marlborough, Massachusetts, USA.
  • Chengquan Zhao
    Department of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. Electronic address: zhaoc@upmc.edu.
  • Liron Pantanowitz
    Department of Pathology, University of Michigan, Ann Arbor, MI, USA.

Keywords

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