Artificial intelligence in ECG analysis - future or present?

Abstract

This review discusses the significance of Electrocardiography (ECG) as a fundamental diagnostic tool for identifying electrical abnormalities in the heart. Despite its inception a century ago, ECG remains the gold standard for cardiovascular assessment. ECGs are routinely conducted in various healthcare settings, from family physician offices to emergency rooms, underscoring its ubiquitous clinical utility. However, misinterpretation of ECGs can lead to detrimental treatment decisions, emphasizing the critical need for accurate analysis. In recent years, artificial intelligence (AI) has emerged as a promising tool for ECG interpretation. AI models, designed to replicate human cognitive functions, undergo training with extensive datasets. While AI shows potential in improving ECG interpretation quality, it is not without limitations. Physician expertise remains indispensable in interpreting ECG findings accurately. Despite its potential, AI’s clinical application in ECG interpretation has yet to gain widespread approval. The paper emphasizes the importance of understanding the limitations and risks associated with AI implementation in cardiovascular diagnostics.