Cardiovascular

Congestive Heart Failure

Latest AI and machine learning research in congestive heart failure for healthcare professionals.

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Showing 232-252 of 4,479 articles
Discriminating HFrEF vs HFpEF from chest radiographs: Mitigating demographic performance gaps via augmentation and multimodal fusion.

Deep learning models applied to chest radiography have shown promise for cardiac phenotyping, yet co...

(1)
Jun 2026 42284341
Tonometer- and ultrasound-based pulse wave analysis - a comparative study.

BACKGROUND AND OBJECTIVE: Arterial pulse wave analysis (PWA), a tool capable of reflecting regional ...

(1)
Jun 2026 42302594
An artificial intelligence model to detect abnormal ejection fraction from non-contrast chest computed tomography: the CT-LVEF study.

AIMS: Heart failure (HF), a major global health challenge, affects millions worldwide and poses subs...

Jun 2026 42388418
AI-assisted diagnosis of cardiac amyloidosis using electrocardiograms and echocardiography: a multicenter retrospective study in China.

BACKGROUND: Cardiac amyloidosis (CA) is an under-recognized cause of left-ventricular hypertrophy (L...

Jun 2026 42277821
Deformable image registration for self-supervised cardiac phase detection in cardiac magnetic resonance images of patients with various diseases.

Cardiovascular magnetic resonance (CMR) is widely used to assess cardiac function, but individual ca...

Jun 2026 42425049
From DNA to Drug Discovery AI Models for Cardiovascular Precision Medicine.

Cardiovascular diseases remain the world's leading cause of death-yet the molecular mechanisms linki...

Jun 2026 42269859
Diagnostic accuracy of AI-Based models for pulmonary edema detection: A systematic review and Meta-Analysis.

BACKGROUND: Pulmonary edema is a life-threatening condition caused by fluid accumulation in the lung...

Jun 2026 42250488
No-reflow phenomenon during percutaneous coronary intervention: Contemporary insights into mechanisms, prediction, and management.

No-reflow phenomenon remains a common and prognostically adverse complication of percutaneous corona...

(2)
Jun 2026 42250691
An explainable machine learning method for identifying key atherogenic lipid biomarkers in abdominal obesity among the Southern Chinese population.

BACKGROUND: Abdominal obesity (AO) significantly contributes to cardiometabolic diseases and poses a...

Jun 2026 42243873
An interpretable machine learning model for preoperative risk stratification in paediatric congenital heart disease surgery: a retrospective cohort study.

BACKGROUND: Congenital heart disease (CHD), one of the most common birth defects, poses challenges t...

Jun 2026 42243949
PMB-NN: Physiology-centered hybrid AI for personalized hemodynamic monitoring from photoplethysmography.

BACKGROUND AND OBJECTIVE: Continuous monitoring of blood pressure (BP) and hemodynamic parameters su...

(1)
Jun 2026 42248129
Deep learning-based arterial waveform analysis for predicting postoperative cerebrovascular events in pediatric patients with Moyamoya disease.

BACKGROUND: Postoperative cerebrovascular events, including transient ischemic attacks, infarctions,...

Jun 2026 42241444
Artificial intelligence for right ventricular assessment: current evidence and future directions.

PURPOSE OF REVIEW: Right ventricular size and function are vital to risk stratification in pulmonary...

Jun 2026 42267489
AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities.

Heart failure management in skilled nursing facilities (SNFs) is complicated by limited access to sp...

Jun 2026 42233902
Proteomic signatures of early retinal neurodegeneration in type 2 diabetes mellitus.

BACKGROUND: Retinal neurodegeneration is an early and independent feature of diabetic retinal diseas...

Jun 2026 42228639
Early Prediction of Diabetic Macular Edema via Machine Learning Survival Analysis on Checkup Data.

PURPOSE: To predict the risk of diabetic macular edema (DME) onset and to identify features of the r...

(1)
Jun 2026 42437110
Plasticizer-responsive molecular axes in heart failure: a subtype-aware toxicogenomic framework relevant to environmental health.

Environmental exposure to synthetic chemicals has been associated with cardiovascular risk, yet mech...

Jun 2026 42235321
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