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

Clinical Information and Decision Making (1929) Artificial Intelligence (2144) Decision Support for Health Professionals (1550) Adoption and Change Management of eHealth Systems (898) E-Health / Health Services Research and New Models of Care (722) Methods and Instruments in Medical Informatics (194) Computer-Aided Diagnosis (253) User Needs and Competencies (457)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62732, first published .
Investigating Clinicians’ Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey

Investigating Clinicians’ Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey

Investigating Clinicians’ Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey

Authors of this article:

Rui Zheng1 Author Orcid Image ;   Xiao Jiang2 Author Orcid Image ;   Li Shen3 Author Orcid Image ;   Tianrui He4 Author Orcid Image ;   Mengting Ji5 Author Orcid Image ;   Xingyi Li6 Author Orcid Image ;   Guangjun Yu1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  2. Parsons C, Zuiderwijk A, Orchard N, Oosterhoff J, de Reuver M. Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies. BMC Medical Informatics and Decision Making 2025;25(1) View

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