This paper is in the following e-collection/theme issue:

Demographics of Users, Social & Digital Divide (679) Artificial Intelligence (1198) Health Informatics Education and Training (43) E-Health / Health Services Research and New Models of Care (457) Artificial Intelligence (AI) in Medical Education (52)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48249, first published .
Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study

Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study

Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study

Authors of this article:

Yanhua Chen1, 2 Author Orcid Image ;   Ziye Wu1 Author Orcid Image ;   Peicheng Wang1, 2 Author Orcid Image ;   Linbo Xie1, 2 Author Orcid Image ;   Mengsha Yan1 Author Orcid Image ;   Maoqing Jiang3 Author Orcid Image ;   Zhenghan Yang4 Author Orcid Image ;   Jianjun Zheng3 Author Orcid Image ;   Jingfeng Zhang3 Author Orcid Image ;   Jiming Zhu1, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Yanhua Chen   1, 2 , PhD ;   Ziye Wu   1 , MPH ;   Peicheng Wang   1, 2 , MMed ;   Linbo Xie   1, 2 , MSc ;   Mengsha Yan   1 , BPH ;   Maoqing Jiang   3 , MD ;   Zhenghan Yang   4 , MD ;   Jianjun Zheng   3 , MiM ;   Jingfeng Zhang   3 * , MD ;   Jiming Zhu   1, 5 * , DPhil

1 Vanke School of Public Health, Tsinghua University, Beijing, China

2 School of Medicine, Tsinghua University, Beijing, China

3 Department of Radiology, Ningbo No. 2 Hospital, Ningbo, China

4 Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China

5 Institute for Healthy China, Tsinghua University, Beijing, China

*these authors contributed equally

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