Machine Learning for Predicting Colorectal Cancer and Advanced Colorectal Polyps: A Systematic Review and Meta-Analysis.

Journal: Journal of clinical gastroenterology
Published Date: May 29, 2025

Abstract

INTRODUCTION: Machine learning (ML) has become increasingly pivotal in health care, particularly in colorectal cancer (CRC) detection and diagnosis with the use of predictive models and artificial intelligence-assisted colonoscopies. This study evaluates the efficacy of ML models in predicting the risk for CRC and advanced colorectal polyps (ACP) before colonoscopy.

Authors

  • Sheza Malik
    Internal Medicine, Rochester General Hospital, Rochester, New York, USA.
  • Arsalan Naqvi
    Mayo Clinic, Rochester, Minnesota.
  • Bettina G Tenorio
    Internal Medicine, Ateneo School of Medicine and Public Health, Pasig, Philippines.
  • Faiqa Farrukh
    Jefferson Abington Hospital, Abington, Pennsylvania.
  • Raseen Tariq
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.
  • Douglas G Adler
    Porter Adventist Hospital, Advent Health, Denver, Colorado.

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