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

Artificial Intelligence (4514) Clinical Information and Decision Making (3512) Implementation Report (119) Decision Support for Health Professionals (2107) Design of Processes and Workflows (266) Machine Learning (3028) Applications of AI (833)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80342, first published .
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Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework

Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework

Authors of this article:

Sundresan Naicker1 Author Orcid Image ;   Paul Schmidt2 Author Orcid Image ;   Bruce Shar2 Author Orcid Image ;   Amina Tariq1 Author Orcid Image ;   Ashleigh Earnshaw1 Author Orcid Image ;   Steven McPhail1, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Obilaja O, Okeke A, Nwosu-Ijiomah C, Ayeyemi B, Mensah A. Beyond Diagnostic Accuracy: Evaluating the Real-World Clinical Impact of AI-Enabled Radiology in Oncology and Nuclear Medicine. Oncology, Nuclear Medicine and Transplantology 2026;2(1):onmt016 View
  2. Chendeb El Rai M, Beya Far A, Darweesh M, Dhou S, Aburaed N, El Rai S, ElKhazendar M, Ellahham S. Artificial Intelligence Across the Radiology Workflow: A Nine-Stage Narrative Review. Diagnostics 2026;16(10):1485 View
  3. Chupetlovska K, Georganta E, Dignum W, Yadav S, Nguyen-Kim T, Beets-Tan R, Trebeschi S. From resistance to reliance: A human-centered analysis of the spectrum of radiologists' trust in AI. European Journal of Radiology Open 2026;17:100780 View
  4. Packer J, Dean G, Storey M, Malamateniou C, Shelmerdine S. Responsible Artificial Intelligence Off-Boarding in Radiology: Staff Perspectives on Decommissioning and a Proposed Withdrawal Framework. Journal of the American College of Radiology 2026 View