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

Safety and Error Prevention in Health (220) Clinical Information and Decision Making (1576) Artificial Intelligence (1631) Decision Support for Health Professionals (1307)

Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38411, first published .
Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Authors of this article:

Avishek Choudhury1 Author Orcid Image ;   Onur Asan2 Author Orcid Image ;   Joshua E Medow3 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

Journals

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  2. Labarta J, Dimitri P, Keiser M, Koledova E, Rivera-Romero O. Evaluating the Usefulness and Ease of Use of a Next-Generation–Connected Drug Delivery Device for Growth Hormone Therapy: Qualitative Study of Health Care Professionals’ Perceptions. JMIR Human Factors 2023;10:e46893 View
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  7. Al‐Riyami A, Gammon R, Seheult J, Arora S, Goel R. Artificial intelligence and transfusion education, research and practice: The view from the ISBT Clinical Transfusion Working Party. Vox Sanguinis 2025 View
  8. Tun H, Rahman H, Naing L, Malik O. Trust in AI-Based Clinical Decision Support Systems Among Healthcare Workers: A Systematic Review (Preprint). Journal of Medical Internet Research 2024 View
  9. An S, Teo K, McConnell M, Marshall J, Galloway C, Squirrell D. AI explainability in oculomics: how it works, its role in establishing trust, and what still needs to be addressed. Progress in Retinal and Eye Research 2025:101352 View