Diagnosis Test Accuracy of Artificial Intelligence for Endometrial Cancer: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
PMID: 40249940

Abstract

BACKGROUND: Endometrial cancer is one of the most common gynecological tumors, and early screening and diagnosis are crucial for its treatment. Research on the application of artificial intelligence (AI) in the diagnosis of endometrial cancer is increasing, but there is currently no comprehensive meta-analysis to evaluate the diagnostic accuracy of AI in screening for endometrial cancer.

Authors

  • Longyun Wang
    Department of Rehabilitation, School of Nursing, Jilin University, Changchun, China.
  • Zeyu Wang
    Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
  • Bowei Zhao
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China.
  • Kai Wang
    Department of Rheumatology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
  • Jingying Zheng
    Department of Gynecology and Obstetrics, The Second Hospital of Jilin University, Changchun, China.
  • Lijing Zhao
    Department of Rehabilitation, School of Nursing, Jilin University, Changchun, China.

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