Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
Type 1 Diabetes (T1D) is a chronic metabolic disease characterized by elevated blood glucose (BG) co...
Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and...
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia worldwide, with catheter ablation...
BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need ...
BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangero...
BackgroundSystemic lupus erythematosus (SLE), an autoimmune disease, predominantly affects women and...
BACKGROUND AND OBJECTIVE: Insulin sensitivity prediction is crucial for model-based treatment in Int...
BACKGROUND: Insulin resistance (IR) indices like the TyG index are predictors of type 2 diabetes (T2...
PURPOSE OF REVIEW: Hypertension remains a leading modifiable risk factor for cardiovascular and rena...
BACKGROUND: The pathological process of atherosclerotic cardiovascular disease (ASCVD) involves comp...
BACKGROUND: Over 50% of women evaluated for suspected ischemia have no obstructive coronary artery d...
CNNs handling multi-scale variations and Transformers modeling long-range dependencies are crucial f...
Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the interne...
OBJECTIVES: Accurate blood pressure measurement is essential for cardiovascular risk management, but...
OBJECTIVE: AI models are increasingly adopted in clinical practice, yet their generalizability outsi...
OBJECTIVE: A substantial proportion of patients (12Â %-25Â %) with recent small subcortical infarction...
BACKGROUND: Since 1980, the number of people with diabetes has doubled globally, a figure expected t...
OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety w...
Cardiovascular disease (CVD) is a leading cause of mortality worldwide, and the mechanical behavior ...
OBJECTIVE: To develop explainable machine learning models for predicting the risk of early postopera...
BACKGROUND AND AIMS: Insulin resistance (IR) and hepatic fibrosis are significant yet underexplored ...