AIMC Topic: Ventricular Dysfunction

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Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach.

Sensors (Basel, Switzerland) Dec 14, 2023
Simple sensor-based procedures, including auscultation and electrocardiography (ECG), can facilitate early diagnosis of valvular diseases, resulting in timely treatment. This study assessed the impact of combining these sensor-based procedures with m...
Humans Neural Networks, Computer Artificial Intelligence Electrocardiography Ventricular Dysfunction Auscultation
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Stress Echocardiographic Evaluation for D-Transposition of the Great Arteries after Atrial Redirection: Unmasking Early Signs of Myocardial Dysfunction and Baffle Stenosis.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Oct 26, 2016
BACKGROUND: The authors used semisupine cycle ergometry stress echocardiography to assess cardiac function and unmask baffle stenosis in patients with d-transposition of the great arteries after atrial redirection surgery.
Humans Retrospective Studies Female Reproducibility of Results Young Adult Sensitivity and Specificity Male Treatment Outcome Cardiac Surgical Procedures Early Diagnosis Echocardiography, Stress Superior Vena Cava Syndrome Transposition of Great Vessels Ventricular Dysfunction
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Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation.

Medical image analysis Jul 26, 2015
Direct estimation of cardiac ventricular volumes has become increasingly popular and important in cardiac function analysis due to its effectiveness and efficiency by avoiding an intermediate segmentation step. However, existing methods rely on eithe...
Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Stroke Volume Imaging, Three-Dimensional Regression Analysis Organ Size Heart Ventricles Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Ventricular Dysfunction
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