Accessibility settings

Published on in Vol 27 (2025)

This is a member publication of University of Münster

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70179, first published .
Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment

Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment

Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment

Journals

  1. Hu X, Gu Y, Lee H, Chen X, Li Y, Li X, Zhao Q, Wang W, Huang H, Wang L, Xia N, Wu W, Lou L, Yang P, Ren K, Guo J, Wang C, Fan L, Yao Z, You G, Zhou J, Wang F, Qu F. A national survey on the integration of traditional Chinese medicine and artificial intelligence: attitudes and perceptions from the individuals with health needs. Integrative Medicine Research 2025;14(4):101219 View
  2. Zhang D, Tao X. How do technology and gamification influence continued usage intention of AI-based wearable devices? Evidence from SEM-ANN. Asia Pacific Journal of Marketing and Logistics 2025:1 View
  3. Pruski M, Woolley K, Withers K. Barriers and Facilitators to Health Care AI Adoption Among Those Living in Wales and Working in Health Care in Wales: Online Survey. Journal of Medical Internet Research 2025;27:e81543 View
  4. Wang J, Song P, Li Y, Zhang Y, Wu T, Zhou B. From Perceived Design Affordance to Fear Reduction: A Mediation-Guided Generative Design Framework for Pediatric Medical Toys. IEEE Access 2026;14:2062 View
  5. Jahagirdar V, Srinivasan S, Khalaf K, Siva Mohan Pinnam B, Rama K, Causada Calo N, Desai M, Hayes V, Chhabra R, Campbell J, Gautam M, Kandulla N, Campbell C, Parasa S, Sharma P. Patient Perspectives on Artificial Intelligence in Gastroenterology: A Multicenter Survey of Knowledge, Concerns, and Beliefs. American Journal of Gastroenterology 2026;121(4):1009 View
  6. Kirchberger M. Public Perceptions of Artificial Intelligence in Medicine and Implications for Future Medical Education: A Cross-Sectional Survey (Preprint). JMIR Formative Research 2025 View
  7. Shi H, Xiang Y, Yang X, Zhao Q, Huang H. Identifying Measurement Dimensions of Users’ Benefit-Risk Perceptions of AI in Healthcare: A Scoping Review. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2026;63 View
  8. Karger C. Patients´ Perspectives on the Implementation of Artificial Intelligence in Radiological Diagnostics: a Focus Group Study (Preprint). Journal of Medical Internet Research 2025 View