AIMC Topic: Ventricular Dysfunction, Left

Clear Filters Showing 1 to 10 of 80 articles

Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients.

Journal of the American Heart Association Feb 19, 2025
BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac intensive care units. An artificial intelligence enhanced ECG (AIECG) algorithm can predict LVDD and mortality in general populations but has not been...
Humans Artificial Intelligence Retrospective Studies Female Aged Hospital Mortality Male Electrocardiography Ventricular Function, Left Ventricular Dysfunction, Left Echocardiography Coronary Care Units Middle Aged Diastole
View on PubMed DOI

ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram.

Artificial intelligence in medicine Jan 3, 2025
Left ventricular systolic dysfunction (LVSD) and its severity are correlated with the prognosis of cardiovascular diseases. Early detection and monitoring of LVSD are of utmost importance. Left ventricular ejection fraction (LVEF) is an essential ind...
Deep Learning Humans Electrocardiography Ventricular Function, Left Signal Processing, Computer-Assisted Stroke Volume Ventricular Dysfunction, Left
View on PubMed DOI

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 Infant Adolescent Algorithms Retrospective Studies Female Male Ventricular Dysfunction, Right Ventricular Dysfunction, Left Ventricular Function, Right Child, Preschool Child Electrocardiography Predictive Value of Tests Humans Artificial Intelligence
View on PubMed DOI

AI derived ECG global longitudinal strain compared to echocardiographic measurements.

Scientific reports Nov 2, 2024
Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to obtain. We evaluated the potential of an artificial intelligence (AI)-generated electrocardiography score for LVGLS estimation (ECG-GLS score) to diagn...
Humans Artificial Intelligence ROC Curve Electrocardiography Heart Ventricles Heart Failure Ventricular Dysfunction, Left Global Longitudinal Strain Ventricular Function, Left Prognosis Stroke Volume Female Echocardiography Aged Middle Aged Male Deep Learning
View on PubMed DOI

Deep Learning-based 12-Lead Electrocardiogram for Low Left Ventricular Ejection Fraction Detection in Patients.

The Canadian journal of cardiology Sep 27, 2024
BACKGROUND: Reduced left ventricular ejection fraction (LVEF) initiates heart failure, and promptly identifying low ejection fraction is crucial for managing progression and averting mortality. In this study we developed an artificial intelligence-en...
Ventricular Dysfunction, Left Middle Aged Humans Aged Deep Learning Algorithms Electrocardiography Male Female Follow-Up Studies Ventricular Function, Left Heart Failure Stroke Volume
View on PubMed DOI

Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Aortic Valve Stenosis Reproducibility of Results Aortic Valve Humans Risk Factors Prognosis Predictive Value of Tests Diastole Echocardiography Severity of Illness Index Aged Female Sclerosis Ventricular Dysfunction, Left Middle Aged Deep Learning Risk Assessment Male Time Factors Disease Progression Ventricular Function, Left United States Calcinosis
View on PubMed DOI

The promise of machine learning models in cardiovascular risk prediction : Machine learning predictions of the adverse events of different treatments in patients with ischemic left ventricular systolic dysfunction.

Internal and emergency medicine Sep 4, 2024
Humans Machine Learning Risk Assessment Ventricular Dysfunction, Left
View on PubMed DOI

Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.

Circulation. Cardiovascular quality and outcomes Sep 2, 2024
BACKGROUND: Risk stratification strategies for cancer therapeutics-related cardiac dysfunction (CTRCD) rely on serial monitoring by specialized imaging, limiting their scalability. We aimed to examine an application of artificial intelligence (AI) to...
United States Electrocardiography Predictive Value of Tests Ventricular Dysfunction, Left Humans Trastuzumab Middle Aged Artificial Intelligence Retrospective Studies Cardiotoxicity Aged Risk Assessment Female Anthracyclines Antineoplastic Agents Risk Factors Time Factors Male Ventricular Function, Left Stroke Volume
View on PubMed DOI

Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial.

Nature medicine Sep 2, 2024
Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, pragmatic clinical trial randomized pregnant and postpartum women to usual care or artificial intelligence (AI)-guided screening to assess its impact ...
Mass Screening Ventricular Dysfunction, Left Cardiomyopathies Pregnancy Complications, Cardiovascular Female Humans Adult Artificial Intelligence Echocardiography Pregnancy Nigeria Electrocardiography
View on PubMed DOI

Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.

PloS one Aug 14, 2024
The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electro...
Middle Aged Deep Learning Aged ROC Curve Supervised Machine Learning Humans Adult Electrocardiography Ventricular Dysfunction, Left Neural Networks, Computer Male Algorithms Echocardiography Female
View on PubMed DOI
Popular Topics
Recent Journals