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

Digital Health Reviews (1191) Clinical Informatics (919) Artificial Intelligence (1216) Mobile Health (mhealth) (2777) Digital Health, Telehealth and e-Innovation in Clinical Settings (352)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50342, first published .
Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review

Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review

Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review

Authors of this article:

Xin He1 Author Orcid Image ;   Xi Zheng1 Author Orcid Image ;   Huiyuan Ding1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Xin He   1 , MA ;   Xi Zheng   1 , MA ;   Huiyuan Ding   1 , BA

1 School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

Corresponding Author:

  • Xin He, MA
  • School of Mechanical Science and Engineering
  • Huazhong University of Science and Technology
  • Luoyu Road 1037
  • Hongshan District
  • Wuhan, 430074
  • China
  • Phone: 86 18707149470
  • Email: xinh@hust.edu.cn