Cardiovascular

Congestive Heart Failure

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

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Showing 1-21 of 4,479 articles
Artificial intelligence in gamma knife radiosurgery: applications in treatment planning, response prediction, and toxicity assessment.

PURPOSE: Artificial intelligence (AI) is increasingly being developed across the Gamma Knife radiosu...

Oct 2026 42905327
Artificial intelligence in diabetic retinopathy: From deep learning to foundation models, clinical translation, and real-world deployment.

Diabetic retinopathy (DR) remains a leading cause of preventable vision impairment worldwide, with i...

Oct 2026 42906863
Global environmental and cardiometabolic correlates of periodontitis- ischemic heart disease co-burden: a spatiotemporal network analysis.

BACKGROUND: Geographic co-occurrence patterns and shared risk factors between periodontitis and isch...

(1)
Oct 2026 42900011
Personalized Remote Patient Management in Heart Failure : From Implanted Hemodynamic Monitoring Toward an Artificial Intelligence-Supported Adaptive Care Cycle.

PURPOSE OF REVIEW: Implanted pulmonary artery pressure (PAP) monitoring provides an early window on ...

(3)
Oct 2026 42895671
In-Hospital Mortality After Aortic Valve Replacement Surgical Versus Transcatheter: A Nationwide Study with Machine Learning-Based Risk Prediction.

INTRODUCTION: Transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (S...

(4)
Oct 2026 42896748
Association of Occupational Noise Exposure with Hypertension and the Mediating Role of Metabolic Dysregulation: A Combined Cross-Sectional and Longitudinal Study.

BACKGROUND: Evidence linking occupational noise to hypertension remains inconsistent, and potential ...

(3)
Oct 2026 42896799
Development of a Novel Non-Invasive Blood Pressure Measurement Technique Using Near-Infrared Spectroscopy and Deep Neural Networks.

Non-invasive monitoring of blood pressure is essential for health management in daily life, particul...

(5)
Oct 2026 42887526
Deep learning-enabled assessment of right ventricular size and function is associated with cardiovascular outcomes.

Right ventricular (RV) size and function inform prognosis in many cardiovascular diseases, but asses...

(9)
Oct 2026 42881254
Atrial cardiomyopathy: from knowledge gaps to clinical impact : The role of the EmbRACE Network.

BACKGROUND: Atrial cardiomyopathy (AtCM) is increasingly recognised as an underlying atrial substrat...

(5)
Oct 2026 42881355
Automated Lewis Score Estimation for Small Bowel Crohn Disease Using Capsule Endoscopy: Retrospective Cohort Study.

BACKGROUND: Small bowel capsule endoscopy (SBCE) is widely used to evaluate small bowel involvement ...

(5)
Oct 2026 42867883
Machine Learning of Echocardiographic Left Ventricular Myocardial Radiomics for Identification of Transthyretin Amyloid Cardiomyopathy.

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) is an important cause of heart failure (H...

(2)
Oct 2026 42868962
Screening for Left Ventricular Dysfunction in Sepsis Using a Smartphone ECG Analysis Application: A Multicenter Validation Study.

BACKGROUND: Sepsis-induced left ventricular (LV) dysfunction complicates fluid resuscitation, increa...

(14)
Oct 2026 42865282
Patient-ventilator asynchronies beyond the waveform.

PURPOSE OF REVIEW: Patient-ventilator asynchrony is commonly treated as a technical mismatch requiri...

(8)
Oct 2026 42859859
[Research progress of artificial intelligence in the diagnosis and treatment of Fuchs endothelial corneal dystrophy].

Fuchs endothelial corneal dystrophy is an inherited corneal endothelial disease that primarily affec...

(4)
Oct 2026 42855787
Identifying Cardiac Autoantibody Biomarkers that Predict the Severity of Chagas Cardiomyopathy.

Chagas cardiomyopathy (ChCM) affects up to 30% of patients with chronic Chagas disease and lacks rel...

(3)
Oct 2026 42854667
An Explainable Machine Learning Model Integrating Clinical Parameters for Identifying Left Atrial Appendage Thrombus in Non-valvular Atrial Fibrillation.

OBJECTIVE: This study aimed to develop a predictive model for left atrial appendage thrombus (LAAT) ...

(2)
Oct 2026 42855401
Explainable machine learning framework for congestive heart failure detection using GLCM-based HRV features and Bayesian network analysis.

BackgroundCongestive heart failure (CHF) is one of the main causes of cardiovascular morbidity and m...

(1)
Oct 2026 42847605
FlowPredictor-Corrector: A Hemodynamics-Guided Two-Step Deep Learning Framework for Vascular Flow Prediction.

Accurate hemodynamic assessment is of significant clinical value in the diagnosis, prognosis, and tr...

(4)
Oct 2026 42848568
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