Latest AI and machine learning research in primary care for healthcare professionals.
Systemic sclerosis (SSc) is a connective tissue disease frequently complicated by pulmonary arterial...
BACKGROUND: Artificial intelligence (AI)-enabled digital health kiosks are increasingly used in work...
BACKGROUND: Improving screening coverage is a central goal of the global strategy to eliminate cervi...
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to tradit...
BACKGROUND: Heart rate variability (HRV) derived from electrocardiogram (ECG) signals offers a promi...
PURPOSE: To evaluate the gradable rate of the retinal images acquired with DRSplus retinographer in ...
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) serves as an essential procedure f...
Integrating artificial intelligence (AI) into drug discovery revolutionizes pharmaceutical research ...
Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depre...
Pressure injury (PI) is common in the ICU and not well captured by single-risk tools such as the Bra...
Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia and pancreatic β-ce...
Digital solutions are essential for eliminating tuberculosis as a public health problem. They can be...
Chronic kidney disease (CKD), defined per the Kidney Disease: Improving Global Outcomes (KDIGO) guid...
Alzheimer's disease (AD) is pressing global health concerns, for which early diagnosis is critical t...
BACKGROUND: Carbohydrate counting (CC) assists people with type 1 diabetes (T1D) adjust mealtime ins...
BACKGROUND: Type 2 diabetes (T2D) currently has no cure. However, extensive evidence suggests that a...
Depression is a prevalent and disabling syndrome characterized by sustained sadness and/or anhedonia...
Emerging evidence suggests that diabetes mellitus (DM) is not only a metabolic disorder but also a m...
BACKGROUND: Machine learning provides a powerful framework to model the complex patterns underlying ...
OBJECTIVE: Artificial intelligence applications (AIA) in fetal ultrasound are rapidly evolving, yet ...
BACKGROUND: Diabetes care requires frequent and high-stakes decisions that must be made in the setti...