AIMC Topic: Ventricular Dysfunction, Right

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Assessment of right ventricular size and function from cardiovascular magnetic resonance images using artificial intelligence.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Apr 11, 2022
BACKGROUND: Theoretically, artificial intelligence can provide an accurate automatic solution to measure right ventricular (RV) ejection fraction (RVEF) from cardiovascular magnetic resonance (CMR) images, despite the complex RV geometry. However, in...
Ventricular Function, Right Reproducibility of Results Stroke Volume Magnetic Resonance Imaging Humans Heart Ventricles Artificial Intelligence Magnetic Resonance Imaging, Cine Predictive Value of Tests Ventricular Dysfunction, Right
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Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.

JACC. Cardiovascular imaging Oct 13, 2021
OBJECTIVES: This study sought to develop DL models capable of comprehensively quantifying left and right ventricular dysfunction from ECG data in a large, diverse population.
Humans Ventricular Function, Left Stroke Volume Deep Learning Ventricular Function, Right Predictive Value of Tests Electrocardiography Ventricular Dysfunction, Right Ventricular Dysfunction, Left
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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...
Preoperative Care Heart Failure Humans Video Recording Retrospective Studies Deep Learning Postoperative Period Echocardiography Heart Ventricular Dysfunction, Right
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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...
Image Interpretation, Computer-Assisted Observer Variation Transposition of Great Vessels Ventricular Dysfunction, Right Heart Ventricles Knowledge Bases Time Factors Ventricular Function, Right Reproducibility of Results Magnetic Resonance Imaging, Cine Ontario Predictive Value of Tests Arterial Switch Operation Humans Male Treatment Outcome Anatomic Landmarks Hypertrophy, Right Ventricular Adolescent Retrospective Studies Feasibility Studies Female
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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).
Deep Learning Adolescent Child, Preschool Young Adult Adult Male Ventricular Dysfunction, Right Ventricular Dysfunction, Left Heart Defects, Congenital Magnetic Resonance Imaging, Cine Child Electrocardiography Predictive Value of Tests Humans Female
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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
Deep Learning Humans Ventricular Function, Right Ventricular Dysfunction, Right Echocardiography Heart Ventricles
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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...
Humans Stroke Volume Echocardiography Ventricular Function, Right Deep Learning Ventricular Dysfunction, Right Hypertension, Pulmonary
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Reply: Can Deep Learning Improve 2D Echocardiographic RV Assessment?: First Important Steps.

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

JACC. Cardiovascular imaging Dec 1, 2023
Humans Echocardiography Deep Learning Ventricular Function, Right Predictive Value of Tests Ventricular Dysfunction, Right Echocardiography, Three-Dimensional
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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 Ventricular Dysfunction, Right Hypertension, Pulmonary Ventricular Function, Right Humans Deep Learning
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