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

Digital Health Reviews (1186) Machine Learning (1385) Artificial Intelligence (1198) Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38039, first published .
What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation

What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation

What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation

Authors of this article:

Henry King1 Author Orcid Image ;   Judy Wright1 Author Orcid Image ;   Darren Treanor1, 2, 3, 4 Author Orcid Image ;   Bethany Williams2 Author Orcid Image ;   Rebecca Randell5, 6 Author Orcid Image
Article Authors Cited by (4) Tweetations (18) Metrics

Henry King   1 , BSc, PhD ;   Judy Wright   1 , BA, MSc ;   Darren Treanor   1, 2, 3, 4 , MB, FRCPath, PhD ;   Bethany Williams   2 , BSc, MBBS, PhD ;   Rebecca Randell   5, 6 , BSc, PhD

1 Faculty of Medicine & Health, University of Leeds, Leeds, United Kingdom

2 Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom

3 Department of Clinical Pathology, and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden

4 Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden

5 Faculty of Health Studies, University of Bradford, Bradford, United Kingdom

6 Wolfson Centre for Applied Health Research, Bradford, United Kingdom

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