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Paper Details

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.
Nat Med
15
2023
OMI, Patients, chest pain, myocardial injury, occlusion myocardial infarction, patients
Electrocardiography, Emergency Service, Hospital, Humans, Myocardial Infarction, Risk Assessment, Time Factors
Author NameAffiliation
Salah S Al-ZaitiUniversity of Pittsburgh
Salah S Al-ZaitiUniversity of Pittsburgh
Salah S Al-ZaitiUniversity of Pittsburgh
Salah S Al-ZaitiUniversity of Pittsburgh
Christian Martin-GillUniversity of Pittsburgh
Christian Martin-GillUniversity of Pittsburgh Medical Center
Jessica K Z??gre-HemseyUniversity of North Carolina at Chapel Hill
Zeineb BouzidUniversity of Pittsburgh
Ziad Faramand
Mohammad AlrawashdehJordan University of Science and Technology
Mohammad AlrawashdehHarvard Medical School and Harvard Pilgrim Health Care Institute
Richard E Gregg
Stephanie HelmanUniversity of Pittsburgh
Nathan T RiekUniversity of Pittsburgh
Karina Kraevsky-PhillipsUniversity of Pittsburgh
G ClermontUniversity of Pittsburgh
Murat AkcakayaUniversity of Pittsburgh
Susan M SereikaUniversity of Pittsburgh
Peter M van DamUniversity Medical Center Utrecht
Stephen W Smith
Stephen W SmithUniversity of Minnesota
Yochai BirnbaumBaylor College of Medicine
Samir SabaUniversity of Pittsburgh
Samir SabaUniversity of Pittsburgh Medical Center
Ervin Sejdi??University of Toronto
Ervin Sejdi??North York General Hospital
Clifton W CallawayUniversity of Pittsburgh
Clifton W CallawayUniversity of Pittsburgh Medical Center
Clifton W CallawayUniversity of Pittsburgh
Clifton W CallawayUniversity of Pittsburgh Medical Center
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