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Related Concept Videos

Aortic Regurgitation III: Medical Management01:25

Aortic Regurgitation III: Medical Management

87
Aortic regurgitation (AR) is when the aortic valve does not close or seal properly, leading to backward blood circulation from the aorta into the left ventricle during diastole. Common causes of AR include rheumatic heart disease, congenital valve defects, and aortic root dilation. Managing AR requires a multifaceted approach to alleviate symptoms, preserve left ventricular function, and address the underlying cause of the regurgitation. Patients with symptomatic AR or significant left...
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Atherosclerosis II: Clinical Manifestations and Diagnostic Tests01:27

Atherosclerosis II: Clinical Manifestations and Diagnostic Tests

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Atherosclerosis is a progressive disorder that leads to the thickening and narrowing of arterial walls due to plaque buildup. This condition can cause various symptoms depending on the arteries affected:Coronary Artery Disease (CAD): This condition affects the coronary arteries and may lead to chest pain (angina), shortness of breath (dyspnea), heart attacks, and other heart disease symptoms.Cerebrovascular Disease: This affects blood flow to the brain, causing transient ischemic attacks (TIAs)...
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Aortic Regurgitation I: Introduction01:15

Aortic Regurgitation I: Introduction

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IntroductionAortic regurgitation is characterized by the backward flow of blood from the aorta into the left ventricle during diastole and arises from the improper closure of the aortic valve. This condition results in left ventricular volume overload and can stem from both acute and chronic etiologies, each contributing uniquely to the disease's progression and symptomatology.Acute and Chronic CausesAcute aortic regurgitation often results from events that suddenly impair the integrity of the...
88

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Related Experiment Video

Updated: Oct 25, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
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Artificial intelligence and machine learning in aortic disease.

Lewis D Hahn1, Kathrin Baeumler2, Albert Hsiao1

  • 1University of California San Diego, Department of Radiology, La Jolla.

Current Opinion in Cardiology
|August 9, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) are advancing aortic disease evaluation. These technologies offer new methods for segmentation, risk stratification, and opportunistic screening of aortic conditions.

Failed At:

2026-06-19T13:39:06.991416+00:00

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