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

Artificial Intelligence (4933) Consumer & Patient Education and Shared-Decision Making (1296) Human Factors and Usability Case Studies (1324) Digital Health, Telehealth and e-Innovation in Clinical Settings (747) Shared Decision Making and Self-Advocacy (93) Ethical, Legal, and Social Issues in AI (217) Responsible Health AI (248)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75615, first published .
Hands holding smartphone and smartwatch displaying health data

Key Information Influencing Patient Decision-Making About AI in Health Care: Survey Experiment Study

Key Information Influencing Patient Decision-Making About AI in Health Care: Survey Experiment Study

Authors of this article:

Xuan Zhu1 Author Orcid Image ;   Austin M Stroud2 Author Orcid Image ;   Sarah A Minteer1, 3 Author Orcid Image ;   Dong Whi Yoo4 Author Orcid Image ;   Jennifer L Ridgeway1, 5 Author Orcid Image ;   Maryam Mooghali6 Author Orcid Image ;   Jennifer E Miller6 Author Orcid Image ;   Barbara A Barry1, 5 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

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  2. . AI Medical Device Safety: Scoping Review with ☸️SAIMSARA. SAIMSARA Journal 2026;1(3) View
  3. Hu J, Zhang Z, Zhao S, Meng L, Zhou S. Doctors as Supervisors: The Signal of Human Doctor Supervision Disclosure Reduces Privacy Concerns. International Journal of Human–Computer Interaction 2026:1 View
  4. Kılınç M. A moderated mediation model of AI acceptance in healthcare: Perceived AI usage competence, AI trust, and AI anxiety. OPUS Journal of Society Research 2026;23(2026):1 View
  5. Abusalih H, Alqahtani A, Alsarhan K, Alshehri L, Aldosari K, Alqahtani Y, Abohimed S. Predictors of Trust and Engagement in Personalized Healthcare: A Study of AI-Driven Diagnosis and Treatment in Saudi Arabia. Healthcare 2026;14(13):1954 View
  6. Zhang X, Liu S, Ji Y, Chen Y. Preferences for AI-Enabled Health Care Technologies: Systematic Review of Discrete Choice Experiments and Reporting Quality Assessment Using the DIRECT Checklist. Journal of Medical Internet Research 2026;28:e103197 View
  7. Moon K, Tamura M, Redmond J, Craigen G, Haidari Z, Trainum B, King D. Facts label for transparent communication of AI Risks in mental health technology. Frontiers in Psychiatry 2026;17 View
  8. Özenir Ç, Altınsoy C, Çubuk M, Kılınç F, Çakır B. Positive and Negative Attitudes Toward Artificial Intelligence and E-Healthy Diet Literacy Among Adults: A Partial Least Squares Structural Equation Modeling Study. Nutrients 2026;18(17):2931 View
  9. Koshmanova E, Kirkove D, Voz B, Gillain N, Matagne A, Bruwier L, Waltregny D, Pétré B. Patients’ and Physicians’ Perceptions of AI Integration in Prostate Cancer Diagnosis: A Mixed-Methods Study of Challenges to the Patient–Physician Relationship (Preprint). Journal of Medical Internet Research 2026 View

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  1. Sahin A, Şahin A. AI-Enhanced Hyper-Personalization for Customer Experience in the Service Industry. View