Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Accurate assessment of pulpal status is essential for achieving successful endodontic ou...
Diabetes mellitus (DM) is a metabolic condition with improper regulation of blood sugar levels a...
OBJECTIVE: Hypertension is a common yet frequently underdiagnosed comorbidity in psoriasis patients....
Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impai...
BACKGROUND: The genesis of Parkinson's disease (PD), a common central neurodegenerative disorder, in...
Artificial intelligence (AI), particularly foundation and generative models, is reshaping the practi...
Organ- and organoid-on-a-chip technologies provide critical human-relevant models for drug screening...
INTRODUCTION: The composition of intestinal flora affects the occurrence and development of type 2 d...
BACKGROUND: Stroke is a major complication of atrial fibrillation (AF), and risk prediction using th...
Motor complications become increasingly prominent as Parkinson's disease (PD) progresses. Although d...
Zebrafish are an effective animal model widely utilized in biomedical research. They are known for t...
Peptide-activated G protein-coupled receptors (GPCRs) regulate physiological processes through inter...
BACKGROUND: In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantit...
Health communication often faces a segmentation-intervention gap: psychographic segmentation identif...
Current diagnostic methods for Gestational Diabetes Mellitus (GDM) inadequately reflect early placen...
Benefits from continuous glucose monitors (CGMs) may depend on how devices are used over time-not on...
Drug-drug interactions (DDIs) are a critical safety issue in clinical practice, as they can lead to ...
This paper examines the integration of artificial intelligence (AI) into cancer screening programmes...
Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging ...
BACKGROUND: CT angiography (CTA) is a key investigation in cerebrovascular disease. However, CTA is ...
OBJECTIVE: To evaluate the effect of cataracts on systemic factor predictions from fundus images by ...