Latest AI and machine learning research in arrhythmias for healthcare professionals.
Recent advances in large language models (LLMs) have enabled the development of multimodal medical A...
Deep learning has achieved expert-level performance in automated electrocardiogram (ECG) diagnosis, ...
The electrocardiogram (ECG) is a critical tool in the diagnosis and monitoring of cardiovascular dis...
Background: Prenatal glucocorticoid administration is standard care for threatened preterm birth, bu...
Prenatal psychological stress affects 15-25% of pregnancies and increases risks of preterm birth, lo...
Electrocardiogram (ECG) is a widely available, non-invasive diagnostic tool used for cardiovascular ...
Accurate clinical prognosis requires synthesizing structured Electronic Health Records (EHRs) with r...
Aims: Despite the availability of clinical risk scores for atherosclerotic cardiovascular disease (A...
Background Stress cardiomyopathy (SCM) shares features with acute myocardial infarction (AMI) which ...
The utilization of continuous ECG monitoring has become an integral part of modern hospital-based ca...
Atrial fibrillation (AF) is a common cardiac arrhythmia that significantly increases the risk of str...
BackgroundAtrial cardiomyopathy (AtCM) is both a cause and a consequence of atrial fibrillation and ...
With the proliferation of wireless electrocardiogram (ECG) systems for health monitoring and authe...
low-dose computed tomography (LDCT) images suffer from severe noise due to reduced radiation exposur...
Recent trials of a neuronal pacemaker have shown that cardiac pumping efficiency increases when re...
This paper studies the role of attention heads in CLIP's image encoder. While CLIP has exhibited r...
Cardiac arrhythmia is a common life-threatening cardiovascular disorder. Potassium channels play a c...
The challenge of precisely recognizing myocardial infarction (MI) from electrocardiographic (ECG) re...
High-voltage defibrillation for eliminating cardiac spiral waves has significant side effects, neces...
In this paper, we present a novel framework for enhancing model interpretability by integrating he...
Myocardial infarction is a major cause of death globally, and accurate early diagnosis from electr...