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OR2-28 | Diagnostic Accuracy of AI Models, Stemi Criteria, and Clinician Interpretations in Acute Myocardial Infarction: A Meta-Analysis of Pooled AUC Data
0
Zitationen
5
Autoren
2025
Jahr
Abstract
Early and accurate diagnosis of acute myocardial infarction (AMI) is essential for optimal treatment. This meta-analysis aims to compare the diagnostic performance of artificial intelligence (AI) models, STEMI criteria, and clinicians using pooled area under the curve (AUC) data from several key studies.
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