Artificial neural networks for ECG interpretation in acute coronary syndrome: A scoping review

The electrocardiogram (ECG) is a crucial diagnostic tool in the Emergency Department (ED) for assessing patients with Acute Coronary Syndrome (ACS). Despite its widespread use, the ECG has limitations, including low sensitivity of the STEMI criteria to detect Acute Coronary Occlusion (ACO) and poor...

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Veröffentlicht in:	The American journal of emergency medicine 2024-09, Vol.83, p.1-8
Hauptverfasser:	Bishop, Andrew J., Nehme, Ziad, Nanayakkara, Shane, Anderson, David, Stub, Dion, Meadley, Benjamin N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acute coronary syndrome Acute Coronary Syndrome - diagnosis Acute coronary syndromes Algorithms Artificial intelligence Diagnosis EKG Electrocardiogram Electrocardiography Electrocardiography - methods Emergency department Emergency medical care Emergency Service, Hospital Heart attacks Heterogeneity Humans Neural networks Neural Networks, Computer Pattern recognition Reperfusion Reproducibility of Results Text analysis
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