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
Article Authors Cited by (17) Tweetations (13) Metrics

Hyeyoung Hah   1 , PhD ;   Deana Shevit Goldin   2 , PhD, DNP

1 Information Systems and Business Analytics, College of Business, Florida International University, Miami, FL, United States

2 Nicole Wertheim College of Nursing & Health Sciences, Florida International University, Miami, FL, United States

Corresponding Author:

  • Hyeyoung Hah, PhD
  • Information Systems and Business Analytics
  • College of Business
  • Florida International University
  • 11200 SW 8th Street
  • Miami, FL, 33199
  • United States
  • Phone: 1 3053484342
  • Email: hhah@fiu.edu