Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study
Abstract BackgroundUrinary tract infection (UTI) is a common emergency department (ED) presentation but can be challenging to diagnose; both overdiagnosis and underdiagnosis are common, and older adults may be at particular risk of misdiagnosis. Artificial intelligence (AI) sh...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
JMIR Publications
2026-05-01
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| Edice: | JMIR AI |
| On-line přístup: | https://ai.jmir.org/2026/1/e91148 |
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