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

Research Instruments, Questionnaires, and Tools (738) Artificial Intelligence (2127) Human Factors and Usability Case Studies (1005) Ethical, Legal, and Social Issues in AI (101) Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare (13)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65567, first published .
Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis

Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis

Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis

Authors of this article:

Janne Kauttonen1 Author Orcid Image ;   Rebekah Rousi2, 3 Author Orcid Image ;   Ari Alamäki1 Author Orcid Image
Article Authors Cited by (14) Tweetations Metrics

Journals

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  2. Almalki M, Sacgaca L, Pangket P, Pasay-an E, Deep S, Maskay G, Benjamin L, Hashim S, Gonzales A, Rosal R, Mohsen M, Mostoles R, Lagura G. Integration of artificial intelligence in nursing education: a cross-national exploration. BMC Nursing 2025;24(1) View
  3. Shen Q, Gong X, Zhang W, Hu Y, Ma Y, Ren Z, Liu S, Song Z, Gale R, Wang J, Chen J. Factors Affecting the Receptiveness of Chinese Internists and Surgeons Toward Artificial Intelligence–Driven Drug Prescription: Protocol for a Systematic Survey Study. JMIR Research Protocols 2025;14:e76009 View
  4. Pejić Bach M, Palić M, Šimičević V. The Impact of Usability and Reliability on ChatGPT Satisfaction among Gen Z and Gen Y. Organizacija 2025;58(3):211 View
  5. HAISOUFI D, Elkhalloufi F, Rouani A, Bouaiti E, Erefai O, Fares R. Perceptions and Challenges of Artificial Intelligence Adoption in Healthcare Crisis Management: Insights from Hassan II regional hospital in Dakhla. Cuestiones de Fisioterapia 2025;54(5) View
  6. Park D, Kim S. Latent Profile Classification and Exploration of Predictive Factors of Artificial Intelligence (AI) Acceptance Levels Among Individuals with Hearing Impairments. Journal of Lifelong Learning Society 2025;21(3):113 View
  7. Ye C, Wang Z, Wu M, Kang R, Yuan F, Chen C. Behavioral drivers of AI nursing acceptance in the Greater Bay Area: a family-caregiver perspective on trust and risk. Frontiers in Public Health 2025;13 View
  8. Gotta J, Grünewald L, Koch V, Mahmoudi S, Bernatz S, Höhne E, Biciusca T, Gökduman A, Wolfram C, Booz C, Scholtz J, Martin S, Eichler K, Gruber-Rouh T, Bucher A, Yel I, Vogl T, Reschke P. Implementation of AI in radiology: the perspective of referring physicians. Insights into Imaging 2025;16(1) View
  9. Yuan S, Guo L, Xu F. Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment. International Urology and Nephrology 2025 View
  10. Ljubisavljević T, Vujko A, Arsić M, Mirčetić V. Digital Twins in Smart Tourist Destinations: Addressing Overtourism, Sustainability, and Governance Challenges. World 2025;6(4):148 View
  11. Zhou T, Fang X. Understanding user trust in AI-generated content: an elaboration likelihood model perspective. Online Information Review 2025:1 View
  12. Leiserowitz G, Mansfield J, MacDonald S, Jost M. Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center. JMIR Medical Informatics 2025;13:e77901 View
  13. Lim E, Lim C. Responsible use of AI in healthcare: an Australian perspective on promise, perils, and professional duties. AI and Ethics 2026;6(1) View
  14. Suepiantham S, Katira R. Patient Perspectives Towards Artificial Intelligence in Heart Failure Care. Cureus 2025 View