Artificial intelligence electrocardiograms have expanded new horizons in clinical diagnosis and treatment
WANG Hong-yu
CAO Chun-ge
Abstract：Electrocardiogram(ECG)testing technology,being one of the most common and cost-effective diagnostic methods in clinical practice,plays a crucial role in the diagnosis and treatment decisions for cardiovascular diseases.Today,the integration of ECG with artificial intelligence(AI)has significantly enhanced diagnostic and predictive capabilities,expanding its application research across multiple clinical fields.AI enhanced ECG can quickly classify and diagnose various arrhythmias;it also shows great potential in screening,differentiating and assessing risks associated with structural heart diseases.Furthermore,its applications have extended beyond cardiac diseases,offering new perspectives for disease warning,risk assessment during diagnosis and treatment processes.The advantages of AI in processing ECG data enable its further expansion into clinical workflows,outpatient rehabilitation and self-health management,thereby improving all aspects of disease management and opening up new horizons in clinical diagnosis and treatment.This article provides an overview and evaluation of the latest research on AI-enhanced ECG and offers insights into future application prospects.
Keywords：Artificial IntelligenceElectrocardiogramClinical diagnosis and treatmentResearch progress
Publication Date：2025-06-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 485-489 )