Why the study?
AI applied to the standard 12-lead ECG is being developed to screen for LVSD and triage for confirmatory testing, but synthesis across settings and evaluation of emerging foundation models are needed.
Does artificial intelligence-enabled electrocardiography improve the detection of left ventricular systolic dysfunction in patients across various clinical settings?
Design
Review
Key result
AI-enabled electrocardiography demonstrates high discrimination for reduced ejection fraction across care settings, though prospective trials are needed to establish clinical benefit.
Authors
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May aid low-LVEF detection across settings; leaves open prospective echocardiography validation of foundation models.
Does artificial intelligence-enabled electrocardiography improve the detection of left ventricular systolic dysfunction in patients across various clinical settings?
AI-enabled 12-lead ECG serves as a scalable, effective screening tool for left ventricular systolic dysfunction across multiple care settings, facilitating targeted echocardiography and early diagnosis.
Bollmann et al. (2026) conducted a review in Left ventricular systolic dysfunction. Artificial intelligence-enabled electrocardiography (AI-ECG) vs. Standard care was evaluated. AI-enabled electrocardiography demonstrates high discrimination for reduced ejection fraction across care settings, though prospective trials are needed to establish clinical benefit.