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

Digital Health Reviews (3866) Adoption and Change Management of eHealth Systems (1165) Artificial Intelligence (5054) Theme Issue: AI and Human Factors—Towards Successful Application of AI in Health Care (72) Attitudes, Beliefs, and Health Behaviours in Human Factors Research (164) Participatory Artificial Intelligence for Health (19)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80581, first published .
Doctor showing tablet to concerned senior woman during consultation

Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review

Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review

Authors of this article:

Huiqin Shi1 Author Orcid Image ;   Jingying Huang1 Author Orcid Image ;   Jin Yang1 Author Orcid Image ;   Mengbo Han2 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Ma M, Sui T, Zhou S, Shi L, Lau P. User Acceptability and Adoption of AI-Generated Lifestyle Intervention Recommendations: Scoping Review and Theoretical Integration. Journal of Medical Internet Research 2026;28:e93573 View
  2. Temiz M, Koç G. Beyond Technology: Privacy, Spirituality, and Women’s Attitudes Toward Artificial Intelligence in Healthcare. Spiritual Psychology and Counseling 2026;11(3):474 View
  3. Wang J, Chung D. Continuance intention toward AI-driven mHealth apps: an extended expectation confirmation model based on a cross-sectional study of young Chinese adults. Frontiers in Public Health 2026;14 View
  4. Drogt J, Jongsma K, Bluemink M, Haitjema S. Ethically aligning a cardiovascular AI-DSS to exclude coronary artery disease with the clinical environment: a qualitative study among prospective end users. BMJ Digital Health & AI 2026;2(1):e000024 View