Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Among patients with type 2 diabetes, minority racial/ethnic groups have a higher burden ...
Obesity is one of the main drivers of type 2 diabetes, but it is not uniformly associated with the d...
With the rapid development of information technology, hospital informatization has become the genera...
INTRODUCTION: Type 1 diabetes mellitus (T1DM) is one of the most frequent autoimmune diseases in chi...
Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the hea...
Glaucoma is a chronic ocular disease characterized by damage to the optic nerve resulting in progres...
What is the relationship between mortality and satellite images as elucidated through the use of Con...
Artificial intelligence (AI) is altering the world of medicine. Given the rapid advances in technolo...
Dipeptidyl peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 ...
Tendinopathy is a complex multifaceted tendinopathy often associated with overuse and with its high ...
The role of endothelin-1 (ET-1) in the pathogenesis of hypertension (HTN) is not clearly established...
Type 2 diabetes is a chronic, costly disease and is a serious global population health problem. Yet,...
OBJECTIVE: Soluble CD40 ligand (sCD40L) is associated with some pathobiological states. However, whe...
Healthy aging is a new challenge for the world. Therefore, health literacy education is a key issue ...
Medicine is heading towards personalized care based on individual situations and conditions. With sm...
Background Advances in computer processing and improvements in data availability have led to the dev...
The stage and duration of hypertension are connected to the occurrence of Hypertensive Retinopathy (...
PURPOSE: Administrative health datasets are widely used in public health research but often lack inf...
Digital health solutions, applications of artificial intelligence (AI) and new technologies, such as...
BACKGROUND/OBJECTIVES: Despite a high prevalence and association with poor outcomes, screening to id...
Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...