Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System.

Journal: Cancer cytopathology
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Medical technologies powered by artificial intelligence are quickly transforming into practical solutions by rapidly leveraging massive amounts of data processed via deep learning algorithms. There is a necessity to validate these innovative tools when integrated into clinical practice.

Authors

  • Esther Elishaev
    Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Lakshmi Harinath
    Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Yuhong Ye
    Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Jonee Matsko
    Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Amy Colaizzi
    Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Stephanie Wharton
    Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Rohit Bhargava
    Department of Bioengineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA.
  • Liron Pantanowitz
    Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Matthew G Hanna
    Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; Computational Pathology and AI Center of Excellence (CPACE), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • 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.

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