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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71236, first published .
Doctor explains AI in medicine to patients, showing brain graphic on laptop.

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
  7. Scuderi G, Taunton M, Browne J, Mont M. The Challenges With Artificial Intelligence in Scientific Writing. The Journal of Arthroplasty 2026;41(2):299 View
  8. De Togni G, Catanzariti B, Christou A, Constantin A, Jeon C, Jokinen K, Romeo M, Shin H, Smit S, Spoden C, Søraa R, Vijayakumar S, Wang M, Wiggert K, Williams R. REALIGN Toolkit: Reflexivity, Adaptability, Leadership, and Inclusion as Pillars of Responsible Research and Innovation. Wellcome Open Research 2026;11:8 View
  9. Diaconescu B, Gurzu B, Sava C, Sava C, Sfarghiu I, Luchian D, Gurzu I. How can artificial intelligence be used within occupational medicine to identify early worker needs and improve workplace accommodation? A narrative review. Romanian Journal of Occupational Medicine 2025;76(1):6 View
  10. Piehl H, Janssen R, Penders B, Fijten R. Between map and maze: reframing trust in healthcare AI. AI & SOCIETY 2026 View
  11. Liu B, Lian J, Liu Y, Xu W, Zhu Q, Jiao W. Advances and challenges from pathological mechanisms to intelligent quantified diagnosis in diabetic optic neuropathy. DIGITAL HEALTH 2026;12 View
  12. Altundere E. Türkiye’de Yapay Zekâ: Toplumsal Algı ve Güven. Habitus Toplumbilim Dergisi 2026;(7):209 View
  13. Malinovich E, Dovgyallo Y. Trust in and Acceptance of Artificial Intelligence in the Age of Digital Medicine. City Healthcare 2026;7(1):124 View
  14. Tariq A, Arikhad M, Sultana A. Machine Learning for Secure Cardiovascular Risk Assessment in Distributed Healthcare Environments. International Journal of Innovative Research in Computer Science and Technology 2026;14(1):179 View
  15. Abdul Rahman H, Noraidi A, Tun H. AI Trustworthiness Index for Healthcare (AITI-H): conceptualization, structure, and development. AI and Ethics 2026;6(2) View
  16. O’Donovan J, Ballard M, Hope R, Wamae J, Miranda A, DeRenzi B, Kabanda R, Chen N, Bazira L, Raghavan M, Finnegan K, Yegon E, Razafinjato B, Johnson A, Aranda Z, Juma M, Sewan Johnston J, Napier H, Nair D, Nagar R, Savanur P, Nagraj S, Harris M, Palazuelos D, Nardella J, Miller N, Ramanathan N, Stansert-Katzen L, Mudhune S, Tomar N, Brockman B, Scotney S, Ward V, Blaj A, Kok M, Akram A, Tschida S, Rogers A, Chambert E, Ravinutala S, Connor A, Blas M, Katara K, Litner R, Haughton J, Fiori K, Baskin C, McLaughlin D. Governance, scale, and integration: building community health worker systems ready for artificial intelligence. The Lancet Primary Care 2026;2(3):100144 View
  17. Cano Abadía M, Goisauf M. Beyond the algorithm: embedding ethics for trustworthy AI in radiology and oncology. Frontiers in Digital Health 2026;8 View
  18. Liu N, Han G, Gu Q, Zhang Y, Chen M. A new era of precision diagnosis and treatment for lung cancer: artificial intelligence-driven multimodal data integration and clinical applications. Cell Death & Disease 2026 View
  19. Borra S, Dey N, Fong S, Sherratt R, Shi F. Explainability and Trust in Deep Learning for Cancer Imaging: Systematic Barriers, Clinical Misalignment, and a Translational Roadmap. Cancers 2026;18(9):1361 View
  20. Sartori L, Musmeci M, Cannizzaro S, Binelli C. When the white coat meets the code: medical professionals’ negotiating with artificial intelligence, trust and boundary work. Health, Risk & Society 2026:1 View
  21. ElBarazi A, Mohamed H, Nasser R. Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar. Healthcare 2026;14(9):1247 View
  22. Jakob F, Glueer C, Thomasius F. Ein neuer Dreiklang: Von der Eminenz zur Evidenz zur Künstlichen Intelligenz. Osteologie 2026;35(02):121 View
  23. Zhu W, Zhang Y, She K, Chen J. Artificial intelligence-driven intelligentization of traditional Chinese medicine diagnosis: Applications, challenges, and prospects of multimodal fusion and large language model. Journal of Traditional Chinese Medical Sciences 2026 View
  24. Pennington-FitzGerald W, Warrier A, Durant S, Sharaf I, Carlino F, Pamula S, Eloy J, Levi J. Diagnostic accuracy and citation integrity of four large language models on otolaryngology vignettes. European Archives of Oto-Rhino-Laryngology 2026 View
  25. Patra D, Saha A, Mukherjee S. Safety-Constrained Agentic AI for Autism Screening: A Multimodal, Clinician-Guided Architecture. Cureus 2026 View
  26. Lopez-Quintero C. Integrating human and nonhuman intelligence to reduce tobacco's public–health burden. Current Opinion in Psychiatry 2026 View
  27. Yoo N, Jang S. Who is Willing to Use AI Mental Health Chatbots? Perceived Impact of AI in Healthcare Predicts Acceptance, with Higher Willingness among Immigrants. Computers in Human Behavior Reports 2026:101111 View