Latest AI and machine learning research in primary care for healthcare professionals.
OBJECTIVE: This study presents an independent clinical evaluation of Dr.Noon CVD, a commercially dev...
OBJECTIVE: One of the most important biomarkers for evaluating long-term glycemic management and est...
Polygenic risk scores (PRSs) are becoming an important component of precision medicine, supporting e...
OBJECTIVE: The goal of this study was to curate a prostate MRI dataset from a screening population a...
INTRODUCTION: Identifying patient characteristics predictive of treatment response is crucial for op...
OBJECTIVE: Self-reported periodontal measures offer a practical alternative to clinical examinations...
OBJECTIVES: To address Croatia's high lung cancer mortality and late-stage diagnoses, the Ministry o...
BACKGROUND: Inpatients with diabetes have higher early unplanned readmission (EUR) rates. Diabetes m...
Clinically, epilepsy manifests as a chronic condition marked by unprovoked, recurrent seizures, plag...
BACKGROUND: Safety is a critical aspect of consumer products. However, there are millions of product...
OBJECTIVE: This study aimed to (1) evaluate and compare the independent associations and predictive ...
BACKGROUND AND AIMS: The Mediterranean diet (MD) has been associated with better glycaemic control i...
The increasing emerging contaminants (ECs) pose significant challenges to non-targeted screening (NT...
Deep-learning (DL) algorithms are widely promoted for diabetic-retinopathy (DR) screening, yet their...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaq...
BACKGROUND: Coronary heart disease (CHD) remains a leading global cause of death. Early identificati...
Transthyretin amyloid cardiomyopathy (ATTR-CM) and aortic stenosis (AS) frequently coexist in elderl...
BACKGROUND: Clinical trials are essential for advancing cancer care, but identifying eligible patien...
Digital technologies are transforming oral healthcare by enhancing prevention, diagnostics, treatmen...
Early detection of Alzheimer's disease (AD) is essential for effective clinical intervention and dis...
OBJECTIVE: This study aims to develop a low-dose CT-based, fully automated deep learning tool for sc...