Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10010, first published .
Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

Jiayi Shen   1, 2 * , MBBS ;   Casper J P Zhang   3 * , MPH, PhD ;   Bangsheng Jiang   4, 5 , MBBS ;   Jiebin Chen   6 , BSc ;   Jian Song   7 , BA ;   Zherui Liu   6 , BSc ;   Zonglin He   4, 5 , MBBS ;   Sum Yi Wong   4, 5 , MBBS ;   Po-Han Fang   4, 5 , MBBS ;   Wai-Kit Ming   1, 4, 8, 9 , MPH, MD, MMSc, PhD

1 Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

2 School of Medicine, Jinan University, Guangzhou, China

3 School of Public Health, The University of Hong Kong, Hong Kong, China (Hong Kong)

4 International School, Jinan University, Guangzhou, China

5 Faculty of Medicine, Jinan University, Guangzhou, China

6 College of Information Science and Technology, Jinan University, Guangzhou, China

7 School of International Studies, Sun Yat-sen University, Guangzhou, China

8 Harvard Medical School, Harvard University, Boston, MA, United States

9 Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, Boston, MA, United States

*these authors contributed equally

Corresponding Author:

  • Wai-Kit Ming, MPH, MD, MMSc, PhD
  • Department of Obstetrics and Gynecology
  • The First Affiliated Hospital of Sun Yat-sen University
  • No 58 Zhongshan Road 2
  • Guangzhou
  • China
  • Phone: 86 14715485116
  • Email: wkming@connect.hku.hk