Multisite, External Validation of an AI-Enabled ECG Algorithm for Detection of Low Ejection Fraction.

ABSTRACT:

Background

Low left ventricular ejection fraction (LEF) can progress undiagnosed. Artificial intelligence-based electrocardiogram (ECG-AI) screening may provide a scalable means to detect LEF.

Objectives

The purpose of this study was to validate a complete ECG-AI software as a medical device for LEF detection.

Methods

Four geographically diverse sites in the United States identified patients with both ECGs and transthoracic echocardiograms performed within 30 days of each other in clinical practice. Data were electronically extracted to specific guidelines and transmitted to the coordinating center for analysis.

Results

Records of 16,000 subjects were extracted, resulting in an evaluable set of 13,960 subjects (mean age 66 years; 52% male). The device demonstra

SUBMITTER: Carter RE 

PROVIDER: S-EPMC12834901 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature