Latest AI and machine learning research in arrhythmias for healthcare professionals.
Specialized foundation models are beginning to emerge in various medical subdomains, but pretraining...
Objective: How structured clinical features and cluster-semantic embeddings interact under self-dist...
This work proposes Attractor-Vascular Coupling Theory (AVCT), a mathematical framework showing that ...
Kawasaki disease (KD) is a systemic vasculitis in young children, and early diagnosis remains challe...
Early detection of Rheumatic Heart Disease (RHD) is essential in reducing its associated mortality a...
Evaluating canine electrocardiograms (ECGs) is challenging due to noise that can obscure clinically ...
Automated pediatric electrocardiogram (ECG) diagnosis remains challenging because models trained pre...
Deep learning models for 12-lead electrocardiogram (ECG) analysis achieve high diagnostic performanc...
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...
Convolutional neural networks (CNNs) remain a central approach in image classification, but their pe...
This paper presents our solution to the NTIRE 2026 Image Denoising Challenge (Gaussian color image d...
Large language models (LLMs) enable waveform-to-text ECG interpretation and interactive clinical que...
Current video benchmarks for multimodal large language models (MLLMs) focus on event recognition, te...
Frailty and functional decline strongly influence treatment tolerance and outcomes in older patients...
Electrocardiograms (ECGs) are among the most widely used diagnostic tools for cardiovascular disease...
Background: Secure text messages (TMs) exchanged among interdisciplinary care teams in nursing homes...
Large Language Models achieve impressive accuracy on medical benchmarks that present clinical inform...
Deep learning training is non-deterministic: identical code with different random seeds produces mod...
Low left ventricular ejection fraction (LEF) frequently remains undetected until progression to symp...
Electrocardiograms (ECGs) are among the most widely available clinical signals and play a central ro...
Purpose: Early recognition of deterioration in patients with suspected infection at the emergency de...