Latest AI and machine learning research in primary care for healthcare professionals.
The rapid advancement of Generative AI (GenAI) has transformed human-computer interaction, particularly in domains requiring personalized guidance, such as nutritional planning. While GenAIs show promise in generating contextual nutritional recommendations, their integration into social interactions and behavioral patterns (which are key aspects of the Internet of Behavior - IoB) remains inadequat...
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic illness that severely alters oral health, elevating periodontal infection incidence and dental treatment failures via mechanisms including hyperglycemia. While laser-induced breakdown spectroscopy (LIBS) using machine learning (ML) has demonstrated the presence of diabetes in hair, nails, and urine, mineralized tooth tissues that p...
Neutrophil extracellular traps (NETs) are increasingly recognized as critical mediators in vascular inflammation and remodeling, yet their molecular m...
OBJECTIVE: This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI) screening strategies using interferon-gamma rele...
INTRODUCTION: Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, primarily due to diagnosis at advanced stages. Although low...
Diabetes mellitus remains one of the most widespread and burdensome chronic diseases worldwide, yet invasive assays and high costs constrain early det...
BACKGROUND: The detrimental cycle of sarcopenic obesity (SO) significantly reduces quality of life in older adults, while the mechanisms are still unc...
BACKGROUND: Adolescent suicide remains a significant public health concern, yet existing suicide screening instruments primarily focus on already mani...
INTRODUCTION: Hematoxylin & Eosin (H&E) stained slides are the gold standard for cancer diagnosis but are subject to labor-intensive review and inter-...
PURPOSE: To benchmark multiple automated machine learning (AutoML) platforms for diabetic retinopathy (DR) screening from fundus photographs using a u...
PURPOSE: To evaluate the feasibility and diagnostic performance of ultra-low-dose CT (ULD-CT) for screening malignant metastasis using super-resolutio...
BACKGROUND: Artificial intelligence (AI) offers a potential solution to radiologist shortages in breast cancer screening while maintaining diagnostic ...
The gut microbiome supports digestion, immunity, and metabolism; its imbalance (dysbiosis) drives inflammation and metabolic dysfunction, contributing...
Tanzania has adopted artificial intelligence (AI)-assisted chest X-ray screening for tuberculosis (TB), including the use of CAD4TB version 6, which i...
OBJECTIVE: Diabetic kidney disease (DKD) is a leading microvascular complication of diabetes in which vascular smooth muscle cell (VSMC) senescence pl...
Gestational diabetes mellitus (GDM) is a common complication during pregnancy, but the role of the basement membrane (BM) in GDM is not well understoo...
Families who speak a language other than English (LOE) are a growing population in the United States. Children of these families are at risk of dispar...
The primary goal of variceal screening in patients with cirrhosis is to identify high-risk esophageal varices (HREV) and implement preventative measur...
OBJECTIVES: Artificial intelligence (AI)-assisted endoscopy has been developed for the early detection of upper gastrointestinal cancer; however, its ...
The recent advent of anti-amyloid-β monoclonal antibodies has introduced new demands for MRI-based screening of amyloid-related imaging abnormalities,...