AIMC Topic: Ventricular Dysfunction, Right

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Predicting post-operative right ventricular failure using video-based deep learning.

Nature communications Aug 31, 2021
Despite progressive improvements over the decades, the rich temporally resolved data in an echocardiogram remain underutilized. Human assessments reduce the complex patterns of cardiac wall motion, to a small list of measurements of heart function. A...
Humans Video Recording Postoperative Period Preoperative Care Heart Ventricular Dysfunction, Right Heart Failure Retrospective Studies Echocardiography Deep Learning
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Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle after arterial switch operation for dextro-transposition of the great arteries.

The international journal of cardiovascular imaging Jun 2, 2016
Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients after arterial switch operation (ASO) for dextro-transposition of the great arteries (d-TGA). Cardiac magnetic resonance (CMR) imaging using the Simpson's...
Knowledge Bases Adolescent Image Interpretation, Computer-Assisted Time Factors Hypertrophy, Right Ventricular Female Ontario Observer Variation Ventricular Function, Right Reproducibility of Results Treatment Outcome Feasibility Studies Transposition of Great Vessels Male Humans Predictive Value of Tests Ventricular Dysfunction, Right Magnetic Resonance Imaging, Cine Retrospective Studies Anatomic Landmarks Heart Ventricles Arterial Switch Operation
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Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.

Journal of the American College of Cardiology Aug 27, 2024
BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to detect biventricular pathophysiology. However, AI-ECG analysis remains underexplored in congenital heart disease (CHD).
Adolescent Humans Ventricular Dysfunction, Left Electrocardiography Female Child, Preschool Heart Defects, Congenital Adult Predictive Value of Tests Young Adult Child Magnetic Resonance Imaging, Cine Male Ventricular Dysfunction, Right Deep Learning
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In the right direction: A deep learning tool for assessment of right ventricular function.

Echocardiography (Mount Kisco, N.Y.) May 1, 2024
Ventricular Dysfunction, Right Humans Heart Ventricles Echocardiography Ventricular Function, Right Deep Learning
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Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension.

Echocardiography (Mount Kisco, N.Y.) Apr 1, 2024
BACKGROUND: Precapillary pulmonary hypertension (PH) is characterized by a sustained increase in right ventricular (RV) afterload, impairing systolic function. Two-dimensional (2D) echocardiography is the most performed cardiac imaging tool to assess...
Echocardiography Deep Learning Ventricular Dysfunction, Right Humans Stroke Volume Hypertension, Pulmonary Ventricular Function, Right
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Reply: Can Deep Learning Improve 2D Echocardiographic RV Assessment?: First Important Steps.

JACC. Cardiovascular imaging Dec 1, 2023
Echocardiography Deep Learning Predictive Value of Tests Ventricular Dysfunction, Right Echocardiography, Three-Dimensional Ventricular Function, Right Humans
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Can Deep Learning Improve 2D Echocardiographic RV Assessment?: First Important Steps.

JACC. Cardiovascular imaging Dec 1, 2023
Predictive Value of Tests Ventricular Dysfunction, Right Echocardiography, Three-Dimensional Humans Echocardiography Deep Learning Ventricular Function, Right
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A framework of deep learning networks provides expert-level accuracy for the detection and prognostication of pulmonary arterial hypertension.

European heart journal. Cardiovascular Imaging Oct 20, 2022
AIMS: To test the hypothesis that deep learning (DL) networks reliably detect pulmonary arterial hypertension (PAH) and provide prognostic information.
Pulmonary Arterial Hypertension Familial Primary Pulmonary Hypertension Hypertension, Pulmonary Ventricular Function, Right Humans Deep Learning Ventricular Dysfunction, Right
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Utility of machine learning algorithms in assessing patients with a systemic right ventricle.

European heart journal. Cardiovascular Imaging Aug 1, 2019
AIMS: To investigate the utility of novel deep learning (DL) algorithms in recognizing transposition of the great arteries (TGA) after atrial switch procedure or congenitally corrected TGA (ccTGA) based on routine transthoracic echocardiograms. In ad...
Echocardiography Case-Control Studies Ventricular Dysfunction, Right Transposition of Great Vessels Arterial Switch Operation Adult Sensitivity and Specificity Male Machine Learning Female Humans
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