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

Formative Evaluation of Digital Health Interventions (4835) Clinical Information and Decision Making (3448) New Methods (1714) Decision Support for Health Professionals (2072) Safety and Error Prevention in Health (302) Design of Processes and Workflows (263) Artificial Intelligence (4438) Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare (21)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64266, first published .
Doctor examining medical scans on laptop and large display

Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features

Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features

Authors of this article:

Sophia Ackerhans1 Author Orcid Image ;   Kai Wehkamp2 Author Orcid Image ;   Rainer Petzina2 Author Orcid Image ;   Daniel Dumitrescu3 Author Orcid Image ;   Carsten Schultz1 Author Orcid Image
Article Authors Cited by (15) Tweetations Metrics

Journals

  1. Trang T, Thang P, Vo T. Moderating the AI Revolution: Perceived threat and generative AI implementation in Vietnamese hospitals. Computers in Human Behavior Reports 2025;19:100774 View
  2. Jin X, Shen H, Zhou P, Yang J, Yang S, Ni H, Yu Y, Zhang Z. Research Progress on Sepsis Diagnosis and Monitoring Based on Omics Technologies: A Review. Diagnostics 2025;15(22):2887 View
  3. Wu Y, Zhang D, Jiang J, Zheng L, Zhou Z, Zhang Z, Nouri S. Multi-omics profiling and AI-driven clinically deployable risk models in MGUS and smoldering myeloma. Clinical and Experimental Medicine 2025;26(1) View
  4. Țîru L, Gherheș V, Stoicov I, Stanici M. Not Ready for AI? Exploring Teachers’ Negative Attitudes Toward Artificial Intelligence. Societies 2025;15(12):337 View
  5. Imran M, Lee Y. Multimodal Vision–Language Models in Medical Imaging: A Survey of Retrieval, Interpretability, and Trust. IEEE Access 2026;14:19511 View
  6. Persson D, Andersen T. The user experiences of AI-based clinical decision support systems and implications for usage over time: A scoping review. DIGITAL HEALTH 2026;12 View
  7. Marjanović M, Latinović L. Artificial intelligence in medical diagnostics: A critical narrative review of risks, responsibility, and the epistemological limits of large language models. Serbian Journal of Engineering Management 2026;11(sp.iss.):76 View
  8. King-Okoye M, Fuller H, Tan K, Marlow N, Fleuriot J, Tzatzakis C, Kanodia S, Odoh K, Dubbala K, Alvarez J. Explainable and reproducible AI: culturally responsive AI for health equity in minoritized groups. Frontiers in Digital Health 2026;7 View
  9. Bold B, Tokuda B, Kashif M, Fadzli F, Wee N, Kanwal U, Nguyễn T, Wah N. Radiologists’ perceived value and readiness for artificial intelligence in value-based radiology: a multicountry survey. Japanese Journal of Radiology 2026 View
  10. van Zyl L. The unintended negative consequences of artificial intelligence use for psychologists. Frontiers in Psychology 2026;17 View
  11. Grosser J, Sauerbach J, Borgstedt R, Rehberg S, Düvel J. Investigating the Potential Effects of Medical AI Systems on Physician Autonomy: Pretest of a Semi-Structured Qualitative Interview Guide (Preprint). JMIR Formative Research 2026 View
  12. Nguyen Q, Ha T, Mai T. AI-Assisted Formative Assessment in Clinical Education: From Algorithms to Agency. JMIR Medical Education 2026;12:e93710 View
  13. Qazi S, Khan I, Waleed M, Ahmad A, Qarni O, Abdullah M, Jehan A, Khattak A, Aamir A, Mazhar M. Artificial intelligence readiness in Pakistan's medical and dental education: training-phase decline, a knowledge–practice paradox, and the role of digital determinants of health. Medical Education Online 2026;31(1) View
  14. Alanazi M. From Triage to Intensive Care: A Qualitative Study of Nurses' Experiences with AI‐Enabled Decision Support. Nursing in Critical Care 2026;31(4) View

Conference Proceedings

  1. Akre V, Hajri L, Raman R. 2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). XAI-MRI: A Multilayered Framework for Explainable AI driven Medical Risk Identification View