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Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52514, first published .
The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives

The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives

The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives

Journals

  1. Lawrence R, Dodsworth E, Massou E, Sherlaw-Johnson C, Ramsay A, Walton H, O'Regan T, Gleeson F, Crellin N, Herbert K, Ng P, Elphinstone H, Mehta R, Lloyd J, Halliday A, Morris S, Fulop N. Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review. eClinicalMedicine 2025;83:103228 View
  2. Hou J, Cheng X, Liao J, Zhang Z, Wang W. Ethical concerns of AI in healthcare: A systematic review of qualitative studies. Nursing Ethics 2026;33(2):428 View
  3. Garcia E, Adam M, Dow E, Minaker S, Scarboro S, Storey P, Wood E, Abousy M, Wykoff C, Al-khersan H. Artificial Intelligence in Clinical Care: Perceptions of Retina Specialists and Patients Gathered Through a Multicenter Survey. Journal of VitreoRetinal Diseases 2026;10(1):68 View
  4. Schilder M, Keyser A, van Hees S, Sbrizzi A, Boon W. Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study. Journal of Medical Internet Research 2026;28:e83407 View
  5. Ebo T, Osunmakinde A, Asaolu A, Ebo D, Egbon E, Olawade D. Automating inequity: how artificial intelligence reproduces systemic failures in patient safety for marginalized communities. AI & SOCIETY 2026 View