A deep learning algorithm for detecting acute myocardial infarction

Delayed diagnosis or misdiagnosis of acute myocardial infarction (AMI) is not unusual in daily practice. Since a 12-lead electrocardiogram (ECG) is crucial for the detection of AMI, a systematic algorithm to strengthen ECG interpretation may have important implications for improving diagnosis. We ai...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology Jg. 17; H. 9; S. 765
Hauptverfasser:	Liu, Wen-Cheng, Lin, Chin-Sheng, Tsai, Chien-Sung, Tsao, Tien-Ping, Cheng, Cheng-Chung, Liou, Jun-Ting, Lin, Wei-Shiang, Cheng, Shu-Meng, Lou, Yu-Sheng, Lee, Chia-Cheng, Lin, Chin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	France 01.10.2021
Schlagworte:	Algorithms Deep Learning Electrocardiography Humans Myocardial Infarction - diagnosis Retrospective Studies Sensitivity and Specificity Troponin I
ISSN:	1969-6213, 1969-6213
Online-Zugang:	Weitere Angaben
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!