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

King, H., Wright, J. orcid.org/0000-0002-5239-0173, Treanor, D. orcid.org/0000-0002-4579-484X et al. (2 more authors) (2023) What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation. Journal of Medical Internet Research, 25. e38039. ISSN 1438-8871

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Item Type: Article
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© Henry King, Judy Wright, Darren Treanor, Bethany Williams, Rebecca Randell. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: artificial intelligence; AI; machine learning; histopathology; pathology; implementation; review
Dates:
  • Published: 24 April 2023
  • Published (online): 24 April 2023
  • Accepted: 11 July 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cancer and Pathology (LICAP)
Depositing User: Symplectic Publications
Date Deposited: 19 Jul 2024 14:44
Last Modified: 19 Jul 2024 14:44
Status: Published
Publisher: JMIR Publications
Identification Number: 10.2196/38039
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