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

Viewpoints and Perspectives (1440) Public (e)Health, Digital Epidemiology and Public Health Informatics (2335) Theoretical Frameworks and Concepts (569) Artificial Intelligence (4900)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/106243, first published .
Diverse team reviewing a city map and tablet for emergency response planning.

Accountable Action End Points for Evaluating Artificial Intelligence in Digital Public Health

Accountable Action End Points for Evaluating Artificial Intelligence in Digital Public Health

Authors of this article:

Xiang Zhou1, 2 Author Orcid Image ;   Hongyan Liu1, 2 Author Orcid Image ;   Zhengdong Hua1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xiang Zhou   1, 2 , MD ;   Hongyan Liu   1, 2 , MD ;   Zhengdong Hua   1, 2 , MD

1 Department of Cardiac Surgery, Wuhan Asia Heart Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China

2 Wuhan Clinical Center for Cardiomyopathy, Wuhan, Hubei, China

Corresponding Author:

  • Zhengdong Hua, MD
  • Department of Cardiac Surgery
  • Wuhan Asia Heart Hospital, Wuhan University of Science and Technology
  • 753 Jinghan Avenue, Jianghan District
  • Wuhan, Hubei 430022
  • China
  • Phone: 86 18707101850
  • Email: huazdmd@sina.com