AIMC Topic: Echocardiography

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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...
Deep Learning Heart Image Processing, Computer-Assisted Heart Ventricles Humans Reproducibility of Results Magnetic Resonance Imaging Supervised Machine Learning Male Neural Networks, Computer Echocardiography Female
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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...
Female Reproducibility of Results Aged Humans Artificial Intelligence Echocardiography Middle Aged Treatment Outcome Male Ventricular Function, Left Stroke Volume Myocardial Contraction Global Longitudinal Strain Image Interpretation, Computer-Assisted Observer Variation Magnetic Resonance Imaging, Cine Predictive Value of Tests ST Elevation Myocardial Infarction Percutaneous Coronary Intervention
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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 ...
Uncertainty Deep Learning Aortic Valve Stenosis Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Echocardiography Severity of Illness Index
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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...
Female Humans Adult Artificial Intelligence Male Echocardiography Prospective Studies Clinical Competence
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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...
Predictive Value of Tests Amyloidosis Cardiomyopathies Artificial Intelligence Echocardiography Electrocardiography Humans
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Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?

Pathogens (Basel, Switzerland) Apr 9, 2025
Artificial intelligence (AI) has emerged as a promising adjunct in the diagnosis and management of infective endocarditis (IE), a disease characterized by diagnostic complexity and significant morbidity. Machine learning (ML) models such as SABIER an...
Echocardiography Humans Artificial Intelligence Disease Management Machine Learning Endocarditis
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A novel intelligent grade classification architecture for Patent Foramen Ovale by Contrast Transthoracic Echocardiography based on deep learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 7, 2025
Patent foramen ovale (PFO) is one of the main causes of ischemic stroke. Due to the complex characteristics of contrast transthoracic echocardiography (cTTE), PFO classification is time-consuming and laborious in clinical practice. For this reason, a...
Echocardiography Deep Learning Contrast Media Foramen Ovale, Patent Humans
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The Year in Perioperative Echocardiography: Selected Highlights from 2024.

Journal of cardiothoracic and vascular anesthesia Apr 2, 2025
This article is the ninth of an annual series reviewing the research highlights of the year pertaining to the subspecialty of perioperative echocardiography for the Journal of Cardiothoracic and Vascular Anesthesia. The authors thank the editor-in-ch...
Humans Echocardiography Cardiac Surgical Procedures Perioperative Care
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Automated generation of echocardiography reports using artificial intelligence: a novel approach to streamlining cardiovascular diagnostics.

The international journal of cardiovascular imaging Mar 31, 2025
Accurate interpretation of echocardiography measurements is essential for diagnosing cardiovascular diseases and guiding clinical management. The emergence of large language models (LLMs) like ChatGPT presents a novel opportunity to automate the gene...
Humans Artificial Intelligence Female Predictive Value of Tests Cardiovascular Diseases Automation Reproducibility of Results Workflow Echocardiography Aged Image Interpretation, Computer-Assisted Middle Aged Male
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Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation.

Circulation. Cardiovascular imaging Mar 27, 2025
BACKGROUND: While echocardiography is pivotal for detecting left ventricular hypertrophy (LVH), it struggles with etiology differentiation. To enhance LVH assessment, we aimed to develop an artificial intelligence algorithm using echocardiography-bas...
Hypertrophy, Left Ventricular Echocardiography Middle Aged Diagnosis, Differential Predictive Value of Tests Cardiomyopathy, Hypertrophic Amyloidosis Radiomics Male Ventricular Function, Left Algorithms Female Aged Humans Artificial Intelligence
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