AIMC Topic: Stroke Volume

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Automated ejection fraction and risk stratification in cardiomyopathy patients with diverse LV geometry using 2D echocardiography.

Scientific reports Jul 1, 2025
Cardiomyopathy often alters left ventricular geometry (LVG), impairing cardiac function. We developed a deep learning (DL) model to estimate left ventricular ejection fraction (LVEF) from echocardiographic images while accounting for LVG variability ...
Humans Prognosis Female Aged Middle Aged Risk Assessment Deep Learning Heart Ventricles Cardiomyopathies Male Ventricular Function, Left Stroke Volume Echocardiography
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Artificial intelligence-assisted diagnosis and prognostication in low ejection fraction using electrocardiograms in inpatient department: a pragmatic randomized controlled trial.

BMC medicine Jun 9, 2025
BACKGROUND: Early diagnosis of low ejection fraction (EF) remains challenging despite being a treatable condition. This study aimed to evaluate the effectiveness of an electrocardiogram (ECG)-based artificial intelligence (AI)-assisted clinical decis...
Prognosis Female Aged Male Electrocardiography Inpatients Taiwan Stroke Volume Middle Aged Humans Artificial Intelligence
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Multimodal Visualization and Explainable Machine Learning-Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study.

Journal of medical Internet research May 1, 2025
BACKGROUND: Currently, there is a paucity of literature addressing personalized risk stratification using multimodal data in patients with symptomatic aortic stenosis and heart failure with preserved ejection fraction (HFpEF) following transcatheter ...
Humans Machine Learning Biomarkers Prognosis Aged, 80 and over Male Stroke Volume Female Aged Risk Assessment Cohort Studies Aortic Valve Stenosis Heart Failure Transcatheter Aortic Valve Replacement
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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Aged Male Ventricular Function, Left Stroke Volume Humans Artificial Intelligence Female Reproducibility of Results ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Image Interpretation, Computer-Assisted Observer Variation Magnetic Resonance Imaging, Cine Echocardiography Middle Aged Treatment Outcome Predictive Value of Tests Myocardial Contraction Global Longitudinal Strain
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AI analysis for ejection fraction estimation from 12-lead ECG.

Scientific reports Apr 18, 2025
Heart failure (HF) remains a leading global cause of cardiovascular deaths, with its prevalence expected to rise in the upcoming decade. Measuring the heart ejection fraction (EF) is crucial for diagnosing and monitoring HF. Although echocardiography...
Middle Aged Deep Learning Electrocardiography Heart Failure Algorithms Humans Female Machine Learning Male Stroke Volume
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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Echocardiography, Three-Dimensional Image Interpretation, Computer-Assisted Automation Echocardiography, Doppler Blood Flow Velocity Male Ventricular Function, Left Stroke Volume Female Aortic Valve Stenosis Prevalence Humans Reproducibility of Results Aortic Valve Severity of Illness Index Machine Learning Aged Predictive Value of Tests Hemodynamics Aged, 80 and over
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External validation of artificial intelligence for detection of heart failure with preserved ejection fraction.

Nature communications Mar 25, 2025
Artificial intelligence (AI) models to identify heart failure (HF) with preserved ejection fraction (HFpEF) based on deep-learning of echocardiograms could help address under-recognition in clinical practice, but they require extensive validation, pa...
Prognosis Female Hospitalization Aged Humans Artificial Intelligence Middle Aged Deep Learning Aged, 80 and over Heart Failure Male Stroke Volume Echocardiography
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Ventricular Function, Right Pulmonary Valve Insufficiency Female Chronic Disease Reproducibility of Results Humans Predictive Value of Tests Young Adult Ventricular Dysfunction, Right Machine Learning Adult Male Prognosis Image Interpretation, Computer-Assisted Echocardiography Stroke Volume Retrospective Studies Severity of Illness Index Adolescent
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Electrocardiographic-Driven artificial intelligence Model: A new approach to predicting One-Year mortality in heart failure with reduced ejection fraction patients.

International journal of medical informatics Feb 19, 2025
BACKGROUND: Despite the proliferation of heart failure (HF) mortality prediction models, their practical utility is limited. Addressing this, we utilized a significant dataset to develop and validate a deep learning artificial intelligence (AI) model...
Aged Deep Learning Humans ROC Curve Artificial Intelligence Male Electrocardiography Algorithms Stroke Volume Heart Failure Female Middle Aged
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Diagnostic accuracy of artificial-intelligence-based electrocardiogram algorithm to estimate heart failure with reduced ejection fraction: A systematic review and meta-analysis.

Current problems in cardiology Feb 3, 2025
INTRODUCTION: AI-based ECG has shown good accuracy in diagnosing heart failure. However, due to the heterogeneity of studies regarding cutoff points, its precision for specifically detecting heart failure with left ventricle reduced ejection fraction...
Electrocardiography Heart Failure Humans Algorithms Artificial Intelligence Ventricular Function, Left Stroke Volume
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