Article

An Artificial Intelligence Model for Detection of Heart Failure with Preserved Ejection Fraction: A Report from HeartShare Study

2025-11-30

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Heart failure with preserved ejection fraction (HFpEF) accounts for over half of all heart failure cases in the United States and remains a diagnostic challenge. Non-invasive, scalable screening tools may enable earlier recognition, timely intervention, and improved care. To evaluate the performance, reproducibility, and early detection capability of an electrocardiogram-bas...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e7dbad9c-59ef-503b-8860-e80521e93eee
DOI: 10.1101/2025.11.26.25341127

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Artificial Intelligence Model for Detection of Heart Failure with Preserved Ejection Fraction: A Report from HeartShare StudyDOI 10.1101/2025.11.26.25341127Read

Artificial Intelligence-Enhanced Electrocardiogram Models for Detection of Left Ventricular Dysfunction: A Comparison StudySemantic proximity Read

Composite Artificial Intelligence–Enabled Electrocardiogram for Detection and Prediction of Structural Heart DiseaseSemantic proximity Read

Artificial Intelligence-Enabled Electrocardiogram for Elevated Left Ventricular Filling PressureSemantic proximity Read

Artificial intelligence–enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platformSemantic proximity Read

Echocardiography-Based, Artificial Intelligence-Enabled Electrocardiography (AI-ECG) for Diastolic Hemodynamics Phenotyping in Acute Heart Failure (AHF)Semantic proximity Read

Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational StudySemantic proximity Read

Phenotypic Selectivity of Artificial Intelligence-enhanced Electrocardiography in Cardiovascular Diagnosis and Risk PredictionSemantic proximity Read

Development and Multinational Validation of Artificial Intelligence-Enabled ASCVD Risk Stratification Using ElectrocardiogramsSemantic proximity Read

Artificial intelligence and heart failure: A state-of-the-art review.Semantic proximity Read

Multiethnic Validation of Artificial Intelligence-Enhanced Electrocardiographic Image Analysis in Detecting Cardiac Structural and Functional Abnormalities: A UK Biobank StudySemantic proximity Read

DYNAMIC-AF HF Study: An AI-ECG–Based Approach for Dynamic Assessment of Heart Failure Risk and Myocardial Recovery Following Atrial Fibrillation AblationSemantic proximity Read

Time-Dependent ECG-AI Prediction of Fatal Coronary Heart DiseaseSemantic proximity Read