Current and Future Use of Artificial Intelligence in Electrocardiography

• Published in: Journal of cardiovascular development and disease Vol. 10; no. 4; p. 175
• Main Authors: Martínez-Sellés, Manuel, Marina-Breysse, Manuel
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.04.2023; MDPI
• Subjects: Accuracy; Algorithms; Artificial intelligence; Automation; Cardiac arrhythmia; Cardiology; Cardiovascular agents; Classification; deep learning; diagnosis; Electrocardiogram; Electrocardiography; Emergency medical care; Heart; Heart beat; Learning strategies; machine learning; Neural networks; Performance evaluation; prognosis; Review; Software; Spain; deep learning; cost effectiveness; diagnosis; machine learning; prognosis; artificial intelligence; electrocardiography

Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in diagnosis, stratification, and management. AI algorithms can help clinicians in the following areas: (1) interpretation and detection of arrhythmias, ST-segment changes, QT prolongation, and other ECG abnorma...