Cardiovascular

Congestive Heart Failure

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

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Showing 484-504 of 4,479 articles
Diagnosis of Cardiac Amyloidosis on Echocardiography Using Artificial Intelligence.

BACKGROUND: Diagnosing cardiac amyloidosis (CA) on echocardiography can be challenging due to the im...

Feb 2026 41674454
Synthetic, Population-Based Virtual Patient Database Using a Digital Twin of the Cardiovascular System.

PURPOSE: The goal is to develop a cardiovascular virtual patient database (VPD) combining physiologi...

Feb 2026 41680513
Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study.

This study aimed to develop and validate a machine learning-based model for predicting 24-hour morta...

Feb 2026 41678452
From Observation to Prediction: Machine Learning Analysis of Progression of Visual loss in Nonarteritic Anterior Ischemic Optic Neuropathy.

OBJECTIVE: To determine whether combinations of modifiable clinical/systemic risk factors and struct...

Feb 2026 41687800
Data-driven subgroups for 3-year risk stratification of incident diabetes and complications in diabetes-free Chinese adults.

BACKGROUND: Substantial metabolic heterogeneity exists prior to the development of diabetes, creatin...

Feb 2026 41672933
Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation.

Age-related macular degeneration (AMD) and diabetic macular edema (DME) are vision-threatening patho...

Feb 2026 41667492
Derivation and validation of a machine learning-driven score to predict the diagnostic yield of endomyocardial biopsy.

Despite its low diagnostic yield, endomyocardial biopsy (EMB) remains the gold standard for establis...

Feb 2026 41663558
Cardiac MR function analysis with DL-based super resolution reconstruction: application in the clinical setting.

To assess differences in volumetry, image quality and acquisition time between balanced steady-state...

Feb 2026 41656477
Quantitative Assessment of Fluorescein Angiography Leakage via Deep Learning in Pediatric Uveitis: Correlation with Clinical Parameters.

PURPOSE: Develop a deep learning algorithm for automated segmentation of retinal vascular and macula...

Feb 2026 41858681
Sequential glioblastoma segmentation via topological data analysis and spatial adjacency.

Segmenting glioblastoma in medical imaging remains challenging due to the tumor's irregular shape, h...

Feb 2026 41604711
Real-world performance of an AI system for diabetic retinopathy screening.

Diabetic retinopathy (DR) is a leading cause of preventable blindness, and the growing global burden...

Feb 2026 41651934
A large language model for complex cardiology care.

The scarcity of subspecialist medical expertise poses a considerable challenge for healthcare delive...

Feb 2026 41652123
Intravitreal faricimab in patients with refractory diabetic macular edema: 6-month fluid analysis using artificial intelligence.

PURPOSE: Diabetic macular edema (DME) is a leading cause of vision loss in patients with diabetes. I...

Feb 2026 41652390
RVO-ME: A Dual-Task OCT Dataset for Segmentation and Detection of Macular Lesions in Retinal Vein Occlusion.

Retinal vein occlusion (RVO) is one of the most common vision-threatening retinal diseases, with mac...

Feb 2026 41639113
Artificial Intelligence-Assisted Detection of Amyloid-Related Imaging Abnormalities: Promise and Pitfalls.

The advent of anti-amyloid therapies (AATs) for Alzheimer disease (AD) has elevated the importance o...

Feb 2026 40738658
ECG and PPG Signals-Based Premature Ventricular Contraction Detection Methods: A Review, Key Challenges, and Future Directions.

Premature ventricular contraction (PVC) is a common cardiac arrhythmia, and its timely and automated...

Feb 2026 41634439
Development and multicentre validation of an artificial intelligence electrocardiogram model for ventricular remodeling in repaired tetralogy of Fallot.

AIMS: Periodic cardiac MRI (CMR) is recommended to identify adverse ventricular remodelling in repai...

Feb 2026 41695565
Endoscopic Diagnosis of Eosinophilic Esophagitis Using a Multi-Task U-Net: A Pilot Study.

PURPOSE: Endoscopically identifying eosinophilic esophagitis (EoE) is difficult due to its rare inci...

Feb 2026 41560382
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