Latest AI and machine learning research in strokes for healthcare professionals.
OBJECTIVE: Current clinical guidelines for non-ST-segment elevation myocardial infarction (NSTEMI) e...
Enlarged perivascular spaces (ePVS) are small, sparse MRI-visible markers of cerebral small vessel d...
BACKGROUND: Large language model (LLM)-based AI teaching agents are increasingly used in medical edu...
AIMS: The etiology of coronary artery Disease (CAD) appears different for men and women, yet insight...
Rheumatoid arthritis (RA) patients face increased cardiovascular (CV) risk, yet existing 10-year est...
INTRODUCTION: PCOS is a common endocrine disorder with elevated cardiometabolic risk, yet the role o...
Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healt...
BACKGROUND: ICU-acquired weakness (ICU-AW) is a common and debilitating complication among criticall...
BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often a...
Pediatric moyamoya disease (MMD) is a progressive steno-occlusive arteriopathy that carries a high r...
BACKGROUND: Diabetes has reached epidemic proportions in Pakistan. This study applied machine learni...
Neuromuscular diseases (NMDs) encompass over 800 distinct entities affecting approximately one in 10...
BACKGROUND AND AIMS: Accurate stroke-risk stratification is central to anticoagulation decision-maki...
INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patie...
Asthma and chronic obstructive pulmonary disease (COPD) represent the two most prevalent chronic res...
The rapid uptake of direct oral anticoagulants (DOACs) has sharply reduced the prescribing of vitami...
BACKGROUND: RETFound, a self-supervised retina-specific foundation model, has shown potential in dow...
BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceri...
BACKGROUND AND PURPOSE: Medical chart abstraction plays a critical role in clinical research and qua...
BACKGROUND AND PURPOSE: Carotid artery tortuosity, quantified by the carotid elongation ratio (CER),...
OBJECTIVE: To develop and evaluate machine learning-based models for predicting fall risk within 6 m...