Latest AI and machine learning research in arrhythmias for healthcare professionals.
Cine cardiovascular magnetic resonance (CMR) analysis relies on multi-frame sequences capturing the ...
Continuous cardiac monitoring outside clinical settings requires signals that are both informative a...
Cine cardiovascular magnetic resonance (CMR) captures the cardiac cycle as a four-dimensional (4D) s...
Explicit timing and context features may complement short electrocardiogram waveforms, but aggregate...
Electrocardiography (ECG) records the electrical activity of the heart, aiding diagnosis by detectin...
Electrocardiogram (ECG) delineation, the identification of waveform boundaries, is a foundational st...
In this work, we investigate the homogeneity of performance in binary classification between the Rot...
Wearable and bedside electrocardiogram (ECG) monitors must adapt to patient-specific morphology to m...
Foundation models can generate scientific code, but authoring a scientific simulator (an executable ...
Background: Pulsed field ablation (PFA) has been rapidly adopted for atrial fibrillation (AF) on the...
Ambulatory electrocardiograms (ECGs) provide continuous monitoring of cardiac electrical activity, b...
Paper ECG recognition is challenging because real-world ECG images vary in layout, physical artifact...
ECG waveform data, which is increasingly required for artificial intelligence analyses, is often una...
TRACE (Text-Reinforced Analysis of Cardio ECGs) is a multimodal electrocardiogram (ECG) representati...
Physiological foundation models encode how a signal was recorded alongside the physiology it reflect...
Deep learning models for Alzheimer disease (AD) classification routinely report near-perfect discrim...
Patient responses to dental pulp testing, ranging from no sensation to intense pain, provide importa...
Electrocardiogram (ECG) recordings are corrupted by non-stationary noise sources that degrade diagno...
Multimodal large language models (MLLMs) can now interpret a standard ten-second, twelve-lead electr...
In recent years, bilevel optimization has been widely used in a variety of machine learning tasks. H...
Electrocardiogram (ECG) foundation models typically tokenize the signal into fixed-length patches th...