Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
Published Date: Jul 18, 2025

Abstract

BACKGROUND: With the widespread application of machine learning (ML) in the diagnosis and treatment of colorectal cancer (CRC), some studies have investigated the use of ML techniques for the diagnosis of KRAS (Kirsten rat sarcoma) mutation. Nevertheless, there is scarce evidence from evidence-based medicine to substantiate its efficacy.

Authors

  • Kaixin Chen
  • Yin Qu
    Department of Anorectal Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine; Anorectal Disease Institute of Shuguang Hospital, 528 Zhangheng Road, Shanghai, 201203, China, 86 13641763662.
  • Ye Han
    School of Information Technology, Jilin Agricultural University, Changchun, China.
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.
  • Huiyan Gao
    Traditional Chinese Medicine Department, Shanghai Pudong New Area Beicai Community Health Service Center, Pudong New Area, Shanghai, China.
  • De Zheng
    Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China herrmayor@126.com.

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