Effects of ai-assisted colonoscopy on adenoma miss rate/adenoma detection rate: A protocol for systematic review and meta-analysis.

Journal: Medicine
Published Date: Nov 18, 2022

Abstract

BACKGROUND: Colonoscopy can detect colorectal adenomas and reduce the incidence of colorectal cancer, but there are still many missing diagnoses. Artificial intelligence-assisted colonoscopy (AIAC) can effectively reduce the rate of missed diagnosis and improve the detection rate of adenoma, but its clinical application is still unclear. This systematic review and meta-analysis assessed the adenoma missed detection rate (AMR) and the adenoma detection rate (ADR) by artificial colonoscopy.

Authors

  • Lei Shao
    Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin 300384, China.
  • Xinzong Yan
    Basic Laboratory of Medical College, Qinghai University, Xining, Qinghai, China.
  • Chengjiang Liu
    Department of Gastroenterology, Anhui Medical University, He Fei, China.
  • Can Guo
    Department of Cardiology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
  • Baojia Cai
    Department of Gastrointestinal Oncology, Affiliated Hospital of Qinghai University, Xining, Qinghai, China.

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