A Prospective, Multicenter, Observational Diagnostic Study to Externally Validate an Artificial Intelligence 12-lead Electrocardiogram Analysis Algorithm to Detect Patients With Acute Myocardial Infarction Who Visit Emergency Medical Center
A Prospective, Multicenter, Observational Diagnostic Study to Externally Validate an Artificial Intelligence 12-lead Electrocardiogram Analysis Algorithm to Detect Patients With Acute Myocardial Infarction Who Visit Emergency Medical Center
This study is a prospective multicenter observational study for external validation and model advancement of a deep learning based 12-lead electrocardiogram analysis algorithm targeting adult patients presenting to the emergency department with chest pain and acute myocardial infarction equivalent symptoms.
About 9,000 adult patients will be enrolled at 20 emergency medical centers in Korea. Artificial intelligence algorithms are manufactured by Medical AI Co., Ltd. It is an advanced version based on the model developed and published in 2020. It had the diagnostic performance of area under the receiver operating curve 0.901 and 0.951 for acute myocardial infarction and ST-segment elevation myocardial infarction, respectively. The primary endpoint is a diagnosis of acute myocardial infarction on the day of the emergency center visit, and the secondary endpoint is a 30-day major adverse cardiac event. From March 2022, patient registration will begin at centers that have been approved by the Institutional Review Board.
This is the first prospective multicenter emergency department validation study for a 12-lead electrocardiogram artificial intelligence algorithm to diagnose acute myocardial infarction. This study will give insight into the direction of future development by verifying whether the deep learning algorithm works well for patients visiting the real-world adult emergency medical center.
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