Exploration of Artificial Intelligence Electrocardiogram to Assist in Diagnosing the Causes of Syncope
LIU Tong
GAO Xin-yi
LI Xin-mu
Abstract：Electrocardiogram(ECG)recording and analysis of the changes of electrical activity in the cardiac cycle is of great significance for identifying the potential causes of syncope.Artificial intelligence-enabled electrocardiogram(AI-ECG)has shown great potential in diagnosing the etiology and predicting the risk of syncope.Clinical decision scores based on the AI-ECG phenotype have been developed to assist in the etiological diagnosis of syncope,and the impact of AI-ECG on the stratification and clincial management of syncope risk is emerging.
Keywords：SyncopeArtificial intelligenceElectrocardiogramDiagnosis
Publication Date：2024-03-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 203-206 )