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...
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 ...
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...
Software Failure Prediction (SFP) includes estimating the probability that a software system will fa...
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...
PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical im...
The Werner syndrome (WRN) helicase is a validated synthetic-lethal vulnerability in cancers with mic...
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 ...