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

Computer-Aided Diagnosis (135) Artificial Intelligence (1421) Clinical Information and Decision Making (1434) Clinical Informatics (1050) Decision Support for Health Professionals (1210) Machine Learning (1501) ENT (Ear, Nose, Throat) (29) Electronic Health Records (1068) Validity, Reliability, and Bias (94)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33049, first published .
Differential Biases and Variabilities of Deep Learning–Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study

Differential Biases and Variabilities of Deep Learning–Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study

Differential Biases and Variabilities of Deep Learning–Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study

Authors of this article:

Dongchul Cha1 Author Orcid Image ;   Chongwon Pae2, 3 Author Orcid Image ;   Se A Lee1 Author Orcid Image ;   Gina Na1 Author Orcid Image ;   Young Kyun Hur1 Author Orcid Image ;   Ho Young Lee1 Author Orcid Image ;   A Ra Cho1 Author Orcid Image ;   Young Joon Cho4 Author Orcid Image ;   Sang Gil Han4 Author Orcid Image ;   Sung Huhn Kim1 Author Orcid Image ;   Jae Young Choi1 Author Orcid Image ;   Hae-Jeong Park2, 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

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