AIMC Topic: Ventricular Dysfunction, Left
Clear Filters Showing 71 to 80 of 81 articles
Imaging With Deep Learning: Sharpening the Cutting Edge.
JACC. Cardiovascular imaging
Mar 1, 2022
Electrocardiography-Based Artificial Intelligence Algorithm Aids in Prediction of Long-term Mortality After Cardiac Surgery.
Mayo Clinic proceedings
Dec 1, 2021
OBJECTIVE: To assess whether an electrocardiography-based artificial intelligence (AI) algorithm developed to detect severe ventricular dysfunction (left ventricular ejection fraction [LVEF] of 35% or below) independently predicts long-term mortality...
The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms.
International heart journal
Jan 1, 2021
Deep learning models can be applied to electrocardiograms (ECGs) to detect left ventricular (LV) dysfunction. We hypothesized that applying a deep learning model may improve the diagnostic accuracy of cardiologists in predicting LV dysfunction from E...
Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features.
Journal of the American College of Cardiology
Aug 25, 2020
BACKGROUND: Left ventricular (LV) diastolic dysfunction is recognized as playing a major role in the pathophysiology of heart failure; however, clinical tools for identifying diastolic dysfunction before echocardiography remain imprecise.
Risk factors for diastolic left ventricular myocardial dysfunction in patients with chronic kidney disease.
Terapevticheskii arkhiv
Sep 20, 2018
AIM: To examine the frequency and risk factors for the development of diastolic dysfunction (DD) of the left ventricle (LV) of the heart in patients with chronic kidney disease (CKD).
Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG.
Journal of the American College of Cardiology
Apr 17, 2018
BACKGROUND: Myocardial relaxation is impaired in almost all cases with left ventricular diastolic dysfunction (LVDD) and is a strong predictor of cardiovascular and all-cause mortality.
Machine Learning Analysis of Left Ventricular Function to Characterize Heart Failure With Preserved Ejection Fraction.
Circulation. Cardiovascular imaging
Apr 1, 2018
BACKGROUND: Current diagnosis of heart failure with preserved ejection fraction (HFpEF) is suboptimal. We tested the hypothesis that comprehensive machine learning (ML) of left ventricular function at rest and exercise objectively captures difference...
[Perfusion-Metabolic Myocardial Scintigraphy in Prognosis of Left Ventricular Remodeling After Complex Surgical Treatment of Ischemic Cardiomyopathy].
Kardiologiia
Oct 1, 2017
PURPOSE: To study capabilities of perfusion-metabolic myocardial scintigraphy for prediction of the left ventricular (LV) reverse remodeling after comprehensive surgical treatment of ischemic cardiomyopathy (ICMP).
P673Improvement of arterial stiffness and myocardial deformation in patients with poorly controlled diabetes mellitus type 2 after optimization of antidiabetic medication.
European heart journal. Cardiovascular Imaging
Dec 1, 2016
BACKGROUND: Arterial stiffness is associated with increased risk for cardiovascular disease. The purpose of this study is to investigate the arterial stiffness and myocardial deformation in patients with poorly controlled diabetes mellitus type 2 bef...
Reference Values
Male
Ventricular Dysfunction, Left
Carotid Intima-Media Thickness
Middle Aged
Humans
Hemodynamic Monitoring
Risk Assessment
Female
Severity of Illness Index
Adult
Case-Control Studies
Treatment Outcome
Follow-Up Studies
Blood Glucose
Vascular Stiffness
Diabetes Mellitus, Type 2
Pulse Wave Analysis
Blood Pressure Determination
Hypoglycemic Agents
P569Diastolic dyssynchrony is associated with exercise intolerance in hypertensive patients with left ventricular hypertrophy.
European heart journal. Cardiovascular Imaging
Dec 1, 2016
BACKGROUND: Left ventricular hypertrophy (LVH) is associated with intra-ventricular dyssynchrony at systolic phase during exercise in hypertensive patients. However, dypsnea on exertion is much more correlated with diastolic phase. We investigated wh...
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