Published on in Vol 7, No 3 (2019): Jul-Sep
![Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review](https://asset.jmir.pub/assets/60d46be02f0977bcafd12f1c1044753e.png 480w,https://asset.jmir.pub/assets/60d46be02f0977bcafd12f1c1044753e.png 960w,https://asset.jmir.pub/assets/60d46be02f0977bcafd12f1c1044753e.png 1920w,https://asset.jmir.pub/assets/60d46be02f0977bcafd12f1c1044753e.png 2500w)
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