AIMC Topic: Echocardiography

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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 ...
Prognosis Female Aged Male Humans Risk Assessment Deep Learning Heart Ventricles Cardiomyopathies Ventricular Function, Left Stroke Volume Echocardiography Middle Aged
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Interpretable machine learning for predicting isolated basal septal hypertrophy.

PloS one Jun 30, 2025
BACKGROUND: The basal septal hypertrophy(BSH) is an often under-recognized morphological change in the left ventricle. This is a common echocardiographic finding with a prevalence of approximately 7-20%, which may indicate early structural and functi...
Humans Machine Learning Algorithms Heart Septum Female Aged Aged, 80 and over Male Echocardiography ROC Curve Ventricular Septum
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Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.

Heart (British Cardiac Society) Jun 26, 2025
BACKGROUND: Epicardial adipose tissue represents a metabolically active visceral fat depot that is in direct contact with the left ventricular myocardium. While it is associated with coronary artery disease, little is known regarding its role in aort...
Severity of Illness Index Aortic Valve Stenosis Adipose Tissue Ventricular Remodeling Echocardiography Middle Aged Disease Progression Epicardial Adipose Tissue Asymptomatic Diseases Computed Tomography Angiography Pericardium Humans Prospective Studies Female Aged Male Ventricular Function, Left
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Prenatal detection of congenital heart defects using the deep learning-based image and video analysis: protocol for Clinical Artificial Intelligence in Fetal Echocardiography (CAIFE), an international multicentre multidisciplinary study.

BMJ open Jun 5, 2025
INTRODUCTION: Congenital heart defect (CHD) is a significant, rapidly emerging global problem in child health and a leading cause of neonatal and childhood death. Prenatal detection of CHDs with the help of ultrasound allows better perinatal manageme...
Humans Artificial Intelligence Pregnancy Female Echocardiography Ultrasonography, Prenatal Fetal Heart Deep Learning Multicenter Studies as Topic Video Recording Heart Defects, Congenital
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Semi-Supervised Echocardiography Video Segmentation via Adaptive Spatio-Temporal Tensor Semantic Awareness and Memory Flow.

IEEE transactions on medical imaging May 2, 2025
Accurate segmentation of cardiac structures in echocardiography videos is vital for diagnosing heart disease. However, challenges such as speckle noise, low spatial resolution, and incomplete video annotations hinder the accuracy and efficiency of se...
Heart Supervised Machine Learning Image Interpretation, Computer-Assisted Semantics Algorithms Echocardiography Image Processing, Computer-Assisted Humans
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Self-supervised learning for label-free segmentation in cardiac ultrasound.

Nature communications Apr 30, 2025
Segmentation and measurement of cardiac chambers from ultrasound is critical, but laborious and poorly reproducible. Neural networks can assist, but supervised approaches require the same problematic manual annotations. We build a pipeline for self-s...
Heart Ventricles Image Processing, Computer-Assisted Humans Reproducibility of Results Supervised Machine Learning Magnetic Resonance Imaging Neural Networks, Computer Male Heart Female Echocardiography Deep Learning
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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...
Global Longitudinal Strain Reproducibility of Results Image Interpretation, Computer-Assisted Predictive Value of Tests Aged Observer Variation ST Elevation Myocardial Infarction Male Humans Magnetic Resonance Imaging, Cine Percutaneous Coronary Intervention Ventricular Function, Left Artificial Intelligence Stroke Volume Myocardial Contraction Female Echocardiography Middle Aged Treatment Outcome
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ProtoASNet: Comprehensive evaluation and enhanced performance with uncertainty estimation for aortic stenosis classification in echocardiography.

Medical image analysis Apr 24, 2025
Aortic stenosis (AS) is a prevalent heart valve disease that requires accurate and timely diagnosis for effective treatment. Current methods for automated AS severity classification rely on black-box deep learning techniques, which suffer from a low ...
Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Uncertainty Echocardiography Severity of Illness Index Deep Learning Aortic Valve Stenosis
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AI-enhanced guidance demonstrated improvement in novices' Apical-4-chamber and Apical-5-chamber views.

BMC medical education Apr 17, 2025
INTRODUCTION: Artificial Intelligence (AI) modules might simplify the complexities of cardiac ultrasound (US) training by offering real-time, step-by-step guidance on probe manipulation for high-quality diagnostic imaging. This study investigates rea...
Male Echocardiography Clinical Competence Prospective Studies Female Humans Adult Artificial Intelligence
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Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review.

Journal of the American Heart Association Apr 10, 2025
Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (CA). Artificial intelligence (AI) could help address these challenges, but a summary of the performance of these tools is lacking. This narrative revi...
Humans Predictive Value of Tests Artificial Intelligence Echocardiography Amyloidosis Electrocardiography Cardiomyopathies
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