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Cardiovascular, Digital health & Informatics
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
Tae Gun Shin, Youngjoo Lee, Kyuseok Kim, Min Sung Lee, Joon-myoung Kwon, on behalf of the ROMIAE study group
Clin Exp Emerg Med. 2023;10(4):438-445.   Published online November 28, 2023
DOI: https://doi.org/10.15441/ceem.22.360
                        
Digital health & Informatics
Explainable artificial intelligence in emergency medicine: an overview
Yohei Okada, Yilin Ning, Marcus Eng Hock Ong
Clin Exp Emerg Med. 2023;10(4):354-362.   Published online November 28, 2023
DOI: https://doi.org/10.15441/ceem.23.145
                        
Critical Care, Digital health & Informatics
Current challenges in adopting machine learning to critical care and emergency medicine
Cyra-Yoonsun Kang, Joo Heung Yoon
Clin Exp Emerg Med. 2023;10(2):132-137.   Published online May 15, 2023
DOI: https://doi.org/10.15441/ceem.23.041
                           Web of Science 5  Crossref 5
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