![]() |
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,
Clin Exp Emerg Med. 2023;10(4):438-445. Published online 2023 Nov 28 DOI: https://doi.org/10.15441/ceem.22.360
|
Citations to this article as recorded by
Artificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study
Min Sung Lee, Tae Gun Shin, Youngjoo Lee, Dong Hoon Kim, Sung Hyuk Choi, Hanjin Cho, Mi Jin Lee, Ki Young Jeong, Won Young Kim, Young Gi Min, Chul Han, Jae Chol Yoon, Eujene Jung, Woo Jeong Kim, Chiwon Ahn, Jeong Yeol Seo, Tae Ho Lim, Jae Seong Kim, Jeff
European Heart Journal.2025;[Epub] CrossRef Clinical applications of artificial intelligence and machine learning in neurocardiology: a comprehensive review
Jade Basem, Racheed Mani, Scott Sun, Kevin Gilotra, Neda Dianati-Maleki, Reza Dashti
Frontiers in Cardiovascular Medicine.2025;[Epub] CrossRef Artificial Intelligence Algorithms in Cardiovascular Medicine: An Attainable Promise to Improve Patient Outcomes or an Inaccessible Investment?
PatrĂcia Bota, Geerthy Thambiraj, Sandeep C. Bollepalli, Antonis A. Armoundas
Current Cardiology Reports.2024; 26(12): 1477. CrossRef
|