Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Clinical trial enrollment in oncology remains critically low, with fewer than 5% of elig...
BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication that can pose ...
Prior studies have used traditional trajectory analyses to classify caries progression; however, non...
The high prevalence of periodontitis has imposed a significant global disease burden. Epidemiologic ...
BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD)...
BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obe...
Lateral flow assays (LFAs) have evolved from simple qualitative tools into intelligent, multi-modal ...
Periprosthetic joint infections (PJIs) are a serious complication in both primary arthroplasty and r...
BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countri...
Type 2 diabetes (T2DM) and periodontitis are bidirectionally linked diseases that both involve chron...
BACKGROUND: Early detection of chronic kidney disease (CKD) is essential for preventing progression ...
The increasing volume of geriatric surgical procedures presents a critical challenge: protecting the...
BACKGROUND: We hypothesized that quantification of coronary atherosclerotic plaque burden by artific...
This study presents AI-CRS, an AI-driven deep learning framework for cardiovascular risk assessment ...
BACKGROUND: Sickle cell disease (SCD) is a genetic blood disorder affecting millions globally, with ...
BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskelet...
In August 2024, the World Health Organization declared the ongoing mpox upsurge in Africa a Public H...
The electronic-structure informatics (ESI) descriptor set was applied to discover novel α-glucosidas...
Machine learning (ML) in digital health applications is becoming more popular for the general manage...
The objective of this study was to develop and validate a nomogram for predicting advanced chronic k...
Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-u...