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

Viewpoints and Perspectives (619) Theoretical Frameworks and Concepts (338) Artificial Intelligence (2129) Artificial Intelligence in Industry (12) Safety and Error Prevention in Health (240) Organizational Issues (221) Clinical Informatics (1325) Digital Health, Telehealth and e-Innovation in Clinical Settings (556) Knowledge Translation and Implementation Science (513)

Published on in Vol 26 (2024)

This is a member publication of The University of Edinburgh, Usher Institute, Edinburgh, United Kingdom

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46407, first published .
Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel

Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel

Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel

Authors of this article:

Kathrin Cresswell1 Author Orcid Image ;   Nicolette de Keizer2, 3 Author Orcid Image ;   Farah Magrabi4 Author Orcid Image ;   Robin Williams5 Author Orcid Image ;   Michael Rigby6 Author Orcid Image ;   Mirela Prgomet7 Author Orcid Image ;   Polina Kukhareva8 Author Orcid Image ;   Zoie Shui-Yee Wong9 Author Orcid Image ;   Philip Scott10 Author Orcid Image ;   Catherine K Craven11 Author Orcid Image ;   Andrew Georgiou4 Author Orcid Image ;   Stephanie Medlock2, 12 Author Orcid Image ;   Jytte Brender McNair13 Author Orcid Image ;   Elske Ammenwerth14 Author Orcid Image
Article Authors Cited by (10) Tweetations (7) Metrics

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  4. Weaver S, Mitchell S. Ten Healthcare Delivery Trends and Their Measurement and Methodological Implications for Cancer Health Services Research. Health Services Research 2025 View
  5. Hedderson D, Courtney K, Blanchard I. Paramedicine informatics – leveraging advancing technology to drive positive change. Paramedicine 2025 View
  6. Landerholm A. AI in Qualitative Health Research Appraisal: Comparative Study. JMIR Formative Research 2025;9:e72815 View
  7. Kandaswamy S, Muthu N, Braykov N, Carter R, Blanco R, Bui T, Orenstein E, Mai M. Human performance evaluation of a pediatric artificial intelligence sepsis model. Journal of the American Medical Informatics Association 2025;32(10):1552 View
  8. Vinci A, Vandelli A, Caputo A, Vainieri M. Supporting the digital transformation journey through monitoring systems in healthcare. A comparative analysis of European empirical approaches through an adaptation of the IPOO framework. Technological Forecasting and Social Change 2025;221:124340 View
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  1. Archontis A, Koumpouros Y. Unveiling Technological Advancements and Interdisciplinary Solutions for Pain Care. View