AIMC Topic: Ventricular Dysfunction, Right

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Right ventricular dysfunction following tetralogy of Fallot correction: anatomical determinants and therapeutic strategies.

International journal of surgery (London, England) Apr 1, 2025
Right ventricular dysfunction following surgical correction of tetralogy of Fallot (TOF) remains a major determinant of long-term morbidity and mortality in survivors. Despite advancements in surgical techniques, residual anatomical abnormalities - i...
Postoperative Complications Ventricular Dysfunction, Right Cardiac Surgical Procedures Tetralogy of Fallot Humans
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Predictive Value of Tests Ventricular Dysfunction, Right Image Interpretation, Computer-Assisted Severity of Illness Index Adolescent Machine Learning Female Chronic Disease Prognosis Humans Reproducibility of Results Retrospective Studies Young Adult Ventricular Function, Right Stroke Volume Adult Pulmonary Valve Insufficiency Echocardiography Male
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Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence-Enabled ECGs.

Journal of the American Heart Association Nov 4, 2024
BACKGROUND: Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respectively) in children can lead to intervention to reduce morbidity and death. Existing artificial intelligence algorithms can identify LVSD and RVSD in ...
Ventricular Function, Left Stroke Volume Echocardiography Retrospective Studies Female Male Child Electrocardiography Predictive Value of Tests Ventricular Dysfunction, Right Infant Adolescent Child, Preschool Humans Artificial Intelligence Algorithms Ventricular Dysfunction, Left Ventricular Function, Right
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Towards deep learning methods for quantification of the right ventricle using 2D echocardiography.

Future cardiology Jun 10, 2024
Ventricular Function, Right Deep Learning Ventricular Dysfunction, Right Heart Ventricles Humans Echocardiography
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New era in right ventricular imaging with AI: Challenges and horizons.

International journal of cardiology Apr 3, 2024
Ventricular Dysfunction, Right Heart Ventricles Cardiac Imaging Techniques Humans Artificial Intelligence
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An attention-based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy.

Echocardiography (Mount Kisco, N.Y.) Dec 21, 2023
AIM: To test the feasibility and accuracy of a new attention-based deep learning (DL) method for right ventricular (RV) quantification using 2D echocardiography (2DE) with cardiac magnetic resonance imaging (CMR) as reference.
Humans Retrospective Studies Middle Aged Deep Learning Feasibility Studies Male Ventricular Dysfunction, Right Female Stroke Volume Reproducibility of Results Ventricular Function, Right Echocardiography Adult
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A Novel Tool for Predicting an Abnormal Echocardiogram in Patients with Pulmonary Embolism: The PEACE Score.

The Journal of emergency medicine Nov 22, 2023
BACKGROUND: Transthoracic echocardiography (TTE) is an essential tool for risk-stratifying patients with pulmonary embolism (PE), but its availability is limited, often requiring hospitalization. Minimal research exists evaluating clinical and labora...
Troponin T Pulmonary Embolism Adult Humans Ventricular Dysfunction, Right Echocardiography Acute Disease Retrospective Studies Tomography, X-Ray Computed
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Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms.

JACC. Cardiovascular imaging May 10, 2023
BACKGROUND: Evidence has shown the independent prognostic value of right ventricular (RV) function, even in patients with left-sided heart disease. The most widely used imaging technique to measure RV function is echocardiography; however, convention...
Echocardiography Deep Learning Predictive Value of Tests Ventricular Dysfunction, Right Ventricular Function, Right Humans Retrospective Studies Stroke Volume
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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...
Heart Ventricles Magnetic Resonance Imaging, Cine Ventricular Function, Right Stroke Volume Magnetic Resonance Imaging Predictive Value of Tests Ventricular Dysfunction, Right Humans Artificial Intelligence Reproducibility of Results
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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.
Ventricular Dysfunction, Right Ventricular Dysfunction, Left Ventricular Function, Right Deep Learning Electrocardiography Predictive Value of Tests Humans Ventricular Function, Left Stroke Volume
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