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

Digital Health Reviews (1289) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Generative Language Models Including ChatGPT (311) AI Language Models in Health Care (58) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (104) Clinical Informatics (1022) Artificial Intelligence (1371) Artificial Intelligence (86)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57224, first published .
Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology

Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology

Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology

Authors of this article:

Julius Dingel1 Author Orcid Image ;   Anne-Kathrin Kleine1 Author Orcid Image ;   Julia Cecil1 Author Orcid Image ;   Anna Leonie Sigl2 Author Orcid Image ;   Eva Lermer1, 2 Author Orcid Image ;   Susanne Gaube3 Author Orcid Image
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