Artificial intelligence-driven ECG screening using the AiTiALVSD model demonstrated high diagnostic accuracy as a rule-out tool for asymptomatic left ventricular systolic dysfunction.
Does AI-driven ECG screening accurately detect asymptomatic left ventricular systolic dysfunction in the general population?
An AI-driven ECG model shows high diagnostic accuracy for detecting asymptomatic LVSD in a general screening population, suggesting utility as a rule-out tool for heart failure prevention.
In a real-world screening population with an extremely low prevalence of LVSD, the AiTiALVSD model demonstrated high diagnostic accuracy, supporting its potential role as a rule-out screening tool for HF prevention. Prospective validation is warranted.
Rhee et al. (2026) studied this question. Artificial intelligence-driven ECG screening using the AiTiALVSD model demonstrated high diagnostic accuracy as a rule-out tool for asymptomatic left ventricular systolic dysfunction.