Cardiovascular

Congestive Heart Failure

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

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Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Chagas disease is a major cause of cardiomyopathy in Latin America. Cardiac magnetic resonance (CMR)...

Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar

Late Gadolinium Enhancement (LGE) on cardiac magnetic resonance is a key marker of myocardial scar, ...

Novel Large Language Model-Based Detection of Echocardiographic Markers of Right Ventricular Dysfunction

Background: Unstructured biomedical data, such as echocardiography reports, are rich in information ...

Automated 2D and 3D Segmentation of AMD and DME Lesions in OCT

Age-related macular degeneration (AMD) and diabetic macular edema (DME) are leading causes of vision...

CardioFusion-AI: Robust ECG--PPG Fusion for Multimodal Physiological Monitoring Under Signal Degradation

Wearable electrocardiogram (ECG) and photoplethysmogram (PPG) sensors are complementary but individu...

A Multidimensional Data-Driven Hybrid Transformer Framework for Non-invasive Continuous Blood Pressure Prediction

Objective. To develop and evaluate a cuffless continuous blood pressure (BP) estimator using tempora...

Prospective Validation of a Deep Learning Model to Detect Structural Heart Disease from Apple Watch ECGs: The WATCH-SHD Study

Importance: Consumer wearables such as the Apple Watch can record single-lead electrocardiograms (EC...

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Longitudinal Clinical Foundation Models Augmented with Genomics for Early Detection and Risk Stratification of Inherited Cardiomyopathy

Hypertrophic and dilated cardiomyopathy (HCM and DCM) carry substantial morbidity and mortality, yet...

Text-Guided Refinement of Multi-sequence Glioma Subregion Segmentation with a Vision-Language Foundation Model

Background: Accurate glioma subregion delineation is important for radiotherapy planning and longitu...

RADAR-WMH: Relaxometry And Diffusion Analysis beyond Radiologically defined WMH

Background: White matter hyperintensities (WMH) represent the most visible manifestation of cerebral...

Genetic regulation of right ventricular trabeculation identifies developmental and cardiopulmonary pathways

Right ventricular (RV) trabeculation may reflect adaptation to loading conditions and imprinting of ...

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Segmentation Robustness and Predictive Utility in Glioblastoma Radiomics: Evidence for a Trade-off in Survival Modelling

Radiomic biomarkers derived from magnetic resonance imaging (MRI) have been widely investigated as n...

Composite Artificial Intelligence-Enabled Electrocardiogram for Detection and Prediction of Structural Heart Disease

Background Structural heart disease (SHD) drives heart failure and cardiovascular mortality but rema...

Hierarchy-Aware and Anatomy-Guided Learning for Lung Ultrasound Video Classification

Lung ultrasound (LUS) is a bedside tool for assessing pulmonary edema in patients at risk due to hea...

Lazy Arithmetic using Systolic Arrays for Closing the Verification Gap on Embedded Systems

Complex algorithms such as deep neural networks are increasingly being deployed on embedded, resourc...

Life-Stage Heterogeneity in the Mental Health Treatment Gap: An Unsupervised Machine Learning Profiling of Symptomatic US Adults

Abstract Background Despite a rising global psychiatric burden, a treatment gap persists where the m...

Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from Echocardiography

Background and Objective: Deep video models estimate left-ventricular ejection fraction (EF) from ec...

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