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

Artificial Intelligence (5118) Clinical Information and Decision Making (3964) Digital Health, Telehealth and e-Innovation in Clinical Settings (761) Adoption and Change Management of eHealth Systems (1175) Decision Support for Health Professionals (2402) Imaging Informatics (526) Medical imaging (207) Responsible Health AI (276)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63668, first published .
Digital brain emerging from an open book, symbolizing AI and knowledge.

Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging Diagnostics: Qualitative Study

Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging Diagnostics: Qualitative Study

Authors of this article:

Jasmin Hennrich1, 2, 3 Author Orcid Image ;   Eileen Doctor1, 2, 3 Author Orcid Image ;   Marc-Fabian Körner1, 2, 3 Author Orcid Image ;   Reeva Lederman4 Author Orcid Image ;   Torsten Eymann2, 3, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Angarita M, Acosta Buitrago L, Pérez J. Cross-interface persistent memory for large language model-assisted radiology research workflows: a Claude-based proof-of-concept technical development. Frontiers in Radiology 2026;6 View
  2. Cai X. The AI Doctor's "Super Eyes": Machines Help People Read Medical Images. MedScien 2025;3(5):4912 View
  3. Brough P, Zobair K, Pool J, Haskell N, Houghton L, Scuffham P, Loy J, Troth A, Memon S, Smithson R, Khan M, Murphy B, Living L, Du L, Richards J, Dolkens J, Aitken M, Zhang J, Grieve J, Bhuta S. AI Adoption, Adaptation, and Workforce Sustainability in Medical Imaging: Systematic Review and Conceptual Framework. JMIR AI 2026;5:e101944 View