ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning–based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department

ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning–based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department

Objective Based on the development of artificial intelligence (AI), an emerging number of methods have achieved outstanding performances in the diagnosis of acute myocardial infarction (AMI) using an electrocardiogram (ECG). However, AI-ECG analysis using a multicenter prospective design for detecti...

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Bibliographic Details
Main Authors: Tae Gun Shin, Youngjoo Lee, Kyuseok Kim, Min Sung Lee, Joon-myoung Kwon, on behalf of the ROMIAE study group
Format: Article
Language:English
Published: The Korean Society of Emergency Medicine 2023-12-01
Series:Clinical and Experimental Emergency Medicine
Subjects:
myocardial infarction
artificial intelligence
electrocardiography
deep learning
Online Access:http://www.ceemjournal.org/upload/pdf/ceem-22-360.pdf

Internet

http://www.ceemjournal.org/upload/pdf/ceem-22-360.pdf

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