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

Digital Health Reviews (1533) Machine Learning (1748) Artificial Intelligence (1754) Clinical Information and Decision Making (1665) Decision Support for Health Professionals (1347)

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 (8) Tweetations (14) Metrics
All Time | Last Month | Last Six Months | Last Year
Julian Winn ???? ???? Julian Winn ???? ???? @Winn_on_Health

May Reading: Artificial Intelligence in Pathology: "Designers also need to give careful thought to usability and how AI is integrated into the pathologist’s workflow" https://t.co/DjRbAQT9tz

7:37 PM · May 26, 2023

0
0
Julian Winn ???? ???? Julian Winn ???? ???? @Winn_on_Health

July Realist & Other Readings: "key contextual factors (...) The first of these is the size of and expertise within a department and to what extent the pathologists within that department work collaboratively" https://t.co/Qz86OR7n2C

9:41 AM · Jul 29, 2023

0
1
Realist Research & Evaluation Group Realist Research & Evaluation Group @group_realist

RT @Winn_on_Health: July Realist & Other Readings: "key contextual factors (...) The first of these is the size of and expertise within a…

10:07 AM · Jul 29, 2023

0
1