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

Artificial Intelligence (2248) Registered Report (815) Implementation Report (56) Reviews in Medical Informatics (116) Decision Support for Health Professionals (1591) Health Informatics Education and Training (90)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63649, first published .
Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis

Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis

Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis

Authors of this article:

Katharina Wenderott1 Author Orcid Image ;   Jim Krups1 Author Orcid Image ;   Matthias Weigl1 Author Orcid Image ;   Abigail R Wooldridge2 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Wenderott K, Krups J, Zaruchas F, Krawitz P, Weigl M, Lesmann H. Workflow analysis and evaluation of a next-generation phenotyping tool: A qualitative study of Face2Gene. European Journal of Human Genetics 2025;33(10):1333 View
  2. Huang H, Lyu W, Hasan M, Houser S. Adoption of Machine Learning in US Hospital Electronic Health Record Systems: Retrospective Observational Study. Journal of Medical Internet Research 2025;27:e76126 View
  3. Naicker S, Schmidt P, Shar B, Tariq A, Earnshaw A, McPhail S. Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework. Journal of Medical Internet Research 2026;28:e80342 View
  4. Alqutaibi A, Algabri R, Ibrahim W, Alhajj M, Elawady D. Response to Letter to the Editor regarding, “Dental implant planning using artificial intelligence: A systematic review and meta-analysis”. The Journal of Prosthetic Dentistry 2026 View