biostudies-literatureUnknown46(20)Lee MS<h4>Background and aims</h4>Emerging evidence supports artificial intelligence-enhanced electrocardiogram (AI-ECG) for detecting acute myocardial infarction (AMI), but real-world validation is needed. The aim of this study was to evaluate the performance of AI-ECG in detecting AMI in the emergency department (ED).<h4>Methods</h4>The Rule-Out acute Myocardial Infarction using Artificial intelligence Electrocardiogram analysis (ROMIAE) study is a prospective cohort study conducted in the Republic of Korea from March 2022 to October 2023, involving 18 university-level teaching hospitals. Adult patients presenting to the ED within 24 h of symptom onset concerning for AMI were assessed. Exposure included AI-ECG score, HEART score, GRACE 2.0 score, high-sensitivity troponin level, and Physician European heart journal1917-1929https://www.ebi.ac.uk/biostudies/studies/S-EPMC12093146biostudies-literatureArtificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study.PMC12093146Son JMJeong JHShin NKim WYKim KChoi KKim MYKwon JMChoi JLim THRhee BChoi SKim WJKim DWJeong KYLee HSCho HKim SEBu JHPark SJJang JHKim DHPark JEKo SHCho YMin YGJung EJung HYoon JCKang SChoi HSChung HShin TGAhn CKim JSChoi SHLee MSSeo JYKim JHLee YHan CAhn SJo YYLee MJROMIAE study groupfalseArtificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study.<h4>Background and aims</h4>Emerging evidence supports artificial intelligence-enhanced electrocardiogram (AI-ECG) for detecting acute myocardial infarction (AMI), but real-world validation is needed. The aim of this study was to evaluate the performance of AI-ECG in detecting AMI in the emergency department (ED).<h4>Methods</h4>The Rule-Out acute Myocardial Infarction using Artificial intelligence Electrocardiogram analysis (ROMIAE) study is a prospective cohort study conducted in the Republic of Korea from March 2022 to October 2023, involving 18 university-level teaching hospitals. Adult patients presenting to the ED within 24 h of symptom onset concerning for AMI were assessed. Exposure included AI-ECG score, HEART score, GRACE 2.0 score, high-sensitivity troponin level, and Physician 2025-01-01T00:00:00Z2025 May2026-04-08T19:00:37.272Z2026-04-08T11:26:17.164ZS-EPMC120931463999230910.1093/eurheartj/ehaf004