Published on in Vol 24, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27694, first published .
The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

Pei-Chin Chen   1, 2 * , MD, MSc ;   Yun-Ru Lu   2, 3 * , MD ;   Yi-No Kang   4, 5, 6, 7 * , MA ;   Chun-Chao Chang   8 , MD

1 Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan

2 Department of General Medicine, Taipei Medical University Hospital, Taipei, Taiwan

3 Department of Anesthesiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

4 Evidence-Based Medicine Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

5 Institute of Health Behaviors and Community Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan

6 Cochrane Taiwan, Taipei Medical University, Taipei, Taiwan

7 Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan

8 Division of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Chun-Chao Chang, MD
  • Division of Gastroenterology and Hepatology
  • Department of Internal Medicine
  • Taipei Medical University Hospital
  • No 252, Wuxing St
  • Taipei, 110
  • Taiwan
  • Phone: 886 227372181
  • Email: chunchao@tmu.edu.tw