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

Clinical Information and Decision Making (1340) Artificial Intelligence (1216) Natural Language Processing (650) Decision Support for Health Professionals (1147) Computer-Aided Diagnosis (102) Simulation (96) Clinical Informatics (919) Health Informatics Education and Training (45) Methods and Instruments in Medical Informatics (106)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33540, first published .
How Clinicians Perceive Artificial Intelligence–Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach

How Clinicians Perceive Artificial Intelligence–Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach

How Clinicians Perceive Artificial Intelligence–Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach

Authors of this article:

Hyeyoung Hah1 Author Orcid Image ;   Deana Shevit Goldin2 Author Orcid Image
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