Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71236, first published .
Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop

Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop

Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop

Journals

  1. Ahadian P, Xu W, Liu D, Guan Q. Ethics of trustworthy AI in healthcare: Challenges, principles, and practical pathways. Neurocomputing 2026;661:131942 View
  2. Rai A, Hurley M, Herrington J, Storch E, Zampella C, Parrish-Morris J, Sonig A, Lázaro-Muñoz G, Kostick-Quenet K. Stakeholder Criteria for Trust in Artificial Intelligence–Based Computer Perception Tools in Health Care: Qualitative Interview Study. Journal of Medical Internet Research 2025;27:e78757 View
  3. Faria V, Goturi N, Dynak A, Talbert C, Pondelis N, Annoni M, Blease C, Holmes S, Moulton E. Triadic relations in healthcare: surveying physicians’ perspectives on generative AI integration and its role on empathy, the placebo effect and patient care. Frontiers in Psychology 2025;16 View
  4. Loushy I, Sperling M. Artificial intelligence for epilepsy decision support. Epilepsia 2025 View
  5. Fritzsche M, Hangel N, Buyx A. Ethical challenges in biomarker research and precision medicine – a qualitative study in dermatology. BMC Medical Ethics 2025;26(1) View
  6. Yang X, Xiao Y, Liu D, Deng H, Huang J, Zhou Y, Liang M, Dong L, Yuan Z, Yao J, Guo W, Xu C. Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study. Journal of Medical Internet Research 2025;27:e84918 View