Artificial intelligence analysis of the single-lead ECG predicts long-term clinical outcomes.

ABSTRACT:

Aims

Artificial intelligence (AI) applied to a single-lead electrocardiogram (AI-ECG) can detect impaired left ventricular systolic dysfunction [LVSD: left ventricular ejection fraction (LVEF) ≤ 40%]. This study aimed to determine if AI-ECG can also predict the two-year risk of major adverse cardiovascular events (MACE) and all-cause mortality independent of LVSD.

Methods and results

Clinical outcomes after two-year follow-up were collected on patients who attended for routine echocardiography and received simultaneous single-lead-ECG recording for AI-ECG analysis. MACE and all-cause mortality were compared by Cox regression, measured against the classification of LVEF > or ≤40%. A subgroup analysis was performed on patients with echocardiographic LVEF ≥ 50%. With previously

SUBMITTER: Alrumayh A 

PROVIDER: S-EPMC12282343 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature