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Applications of AI (368) Natural Language Processing (981) Decision Support for Health Professionals (1674) Machine Learning (2285) Urology (47) Computer-Aided Diagnosis (283)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91148, first published .
Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study

Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study

Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study

Authors of this article:

Mark Iscoe1, 2 Author Orcid Image ;   Huan Li1 Author Orcid Image ;   Haipeng Xue3 Author Orcid Image ;   Vimig Socrates2, 4 Author Orcid Image ;   Aidan Gilson3, 5 Author Orcid Image ;   Thomas Huang3, 6 Author Orcid Image ;   Richard Andrew Taylor2, 7 Author Orcid Image
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