Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73374, first published .
Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review

Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review

Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review

Yushu Liu   1, 2 , MPA ;   Chenxi Liu   1, 2 , PhD ;   Jianing Zheng   1, 2 , MPA ;   Chang Xu   3 , PhD ;   Dan Wang   4, 5, 6 , PhD

1 School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, China

2 Major Disciplinary Platform under Double First-Class Initiative for Liberal Arts at Huazhong University of Science and Technology (Research Center for High-Quality Development of Hospitals), Wuhan, China

3 Smart Hospital Research Institute, Peking University Shenzhen Hospita, Shenzhen, China

4 School of Management, Hubei University of Chinese Medicine, Wuhan, China

5 Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan, China

6 Research Center for Traditional Chinese Medicine Development, Hubei University of Chinese Medicine, Wuhan, China

Corresponding Author:

  • Chenxi Liu, PhD
  • School of Medicine and Health Management, Huazhong University of Science and Technology
  • Hangkong Road No. 13
  • Qiaokou District
  • Wuhan 430030
  • China
  • Phone: 86 13476237004
  • Email: liu_chenxi@hust.edu.cn