International evaluation of an artificial intelligence-powered electrocardiogram model detecting acute coronary occlusion myocardial infarction.
Robert HermanHarvey Pendell MeyersStephen W SmithDario T BertoloneAttilio LeoneKonstantinos BermpeisMichele M ViscusiMarta BelmonteAnthony DemolderVladimir BozaBoris VavrikViera KresnakovaAndrej IringMichal MartonakJakub BahylTimea KisovaDan SchelfautMarc VanderheydenLeor PerlEmre K AslangerRobert HatalaWojtek WojakowskiJozef BartunekEmanuele BarbatoPublished in: European heart journal. Digital health (2023)
The present novel ECG AI model demonstrates superior accuracy to detect acute OMI when compared with STEMI criteria. This suggests its potential to improve ACS triage, ensuring appropriate and timely referral for immediate revascularization.
Keyphrases
- artificial intelligence
- liver failure
- machine learning
- big data
- deep learning
- respiratory failure
- percutaneous coronary intervention
- emergency department
- acute coronary syndrome
- coronary artery disease
- aortic dissection
- drug induced
- heart failure
- coronary artery
- left ventricular
- coronary artery bypass grafting
- heart rate variability
- st elevation myocardial infarction
- heart rate
- st segment elevation myocardial infarction
- transcatheter aortic valve replacement