Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Maximal oxygen consumption VO2max is the gold standard for cardiorespiratory fitness but requires re...
Specialized foundation models are beginning to emerge in various medical subdomains, but pretraining...
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...
Peritoneal metastases are currently assessed using diagnostic laparoscopy to determine Sugarbaker's ...
Deep learning models for 12-lead electrocardiogram (ECG) analysis achieve high diagnostic performanc...
Aims To systematically evaluate how artificial intelligence and machine-learning (AI/ML) methods are...
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...
Transthyretin amyloid cardiomyopathy (ATTR -CM) is a treatable but underrecognized cause of heart fa...
Introduction Despite the proven benefits of reperfusion therapies in acute ischemic stroke, treatmen...
Self-supervised learning in healthcare has largely relied on invariance-based objectives, which maxi...
Background: Current medical large language model (LLM) evaluations largely rely on small collections...
Plankton monitoring is essential for assessing aquatic ecosystems but is limited by the labor-intens...
Stroke-associated pneumonia (SAP) is a common, severe complication in acute ischemic stroke (AIS) pa...
Large language models (LLMs) enable waveform-to-text ECG interpretation and interactive clinical que...
Frailty and functional decline strongly influence treatment tolerance and outcomes in older patients...
Psychological stress is clinically relevant in cardio-oncology, yet it is typically assessed only th...
Background Cardiovascular adverse events (CVAEs) after chemoradiotherapy (CRT) for lung cancer are m...
Electrocardiograms (ECGs) are among the most widely used diagnostic tools for cardiovascular disease...