Latest AI and machine learning research in primary care for healthcare professionals.
In recent years, the rapid development of artificial intelligence (AI) has brought innovative opport...
White matter hyperintensities (WMH) are neuroimaging markers linked to an elevated risk of cognitive...
Frequent and long-term exposure to hyperglycemia (i.e., high blood glucose) increases the risk of ...
The dead-in-bed syndrome describes the sudden and unexplained death of young individuals with Type...
Refractive error is a significant factor contributing to visual impairment, imposing a relatively la...
We propose and create an incentive based recommendation algorithm aimed at improving the lifestyle...
This study reveals the important role of prevention care and medication adherence in reducing hosp...
In this study, hypertension is utilized as an indicator of individual vascular damage. This damage...
Monitoring maternal and fetal health during pregnancy is crucial for preventing adverse outcomes. ...
Early life experiences are crucial for health and well-being, influencing physical, emotional, and s...
Understanding how urban socio-demographic and environmental factors relate with health is essentia...
Type 2 Diabetes Mellitus (T2DM) remains a global health challenge, underscoring the need for early...
Chronic Kidney Disease (CKD) is a major global health issue which is affecting million people arou...
Systematic reviews are fundamental to evidence-based medicine. Creating one is time-consuming and ...
Diabetic Retinopathy (DR) is a serious and common complication of diabetes, caused by prolonged hi...
Group Ordered Weighted $L_{1}$-Norm (Group OWL) regularized models have emerged as a useful proced...
Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...
Background: The HERMES Kiosk (Healthcare Enhanced Recommendations through Artificial Intelligence ...
Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruit...
This study aimed to develop a machine learning (ML) algorithm capable of determining cardiovascula...
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the deve...