Primary Care

Traditional statistics and artificial intelligence-based prognostic models for predicting type 2 diabetes mellitus after gestational diabetes: a systematic review.

Unveiling novel biomarkers for diabetes-related complications through large-scale proteomics analysis: A FIELD sub-study.

BACKGROUND: Vascular complications of Type 2 diabetes (T2D) significantly contribute to its morbidit...

Artificial Intelligence For 6P Medicine: Consolidating AI Needs of Predictive, Preventive, Personalized, Participatory, Precision, and Public Health Trajectories.

Interactive multimodal disease risk evaluation using a self-service non-invasive device.

BACKGROUND: Non-communicable diseases such as diabetes, fatty liver disease and chronic kidney disea...

International consensus on adolescent metabolic health: prevention of obesity and type 2 diabetes.

[Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].

Gastric cancer constitutes a significant global health burden, and its clinical management is underg...

[Exploration and clinical application of the "digital and intelligent surgery" diagnosis and treatment workflow for oral and maxillofacial tumors].

Tumors in the oral and maxillofacial region present significant clinical challenges due to anatomica...

NeuroBACE-ML: A reliability-aware screening framework for high-throughput prioritization of potent BACE1 inhibitors.

Beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is a key enzyme in amyloid-β generatio...

Machine Learning-Driven Ensemble Screening of Multitarget Kinase Inhibitors for Tauopathy-Associated Neurodegeneration Using All-Atom and Steered MD Simulations.

Tauopathies arise when normal functions of the tau protein in axonal transport and neuronal maintena...

Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections.

INTRODUCTION: Teicoplanin is commonly used to treat Gram-positive bacterial infections in the intens...

Artificial Intelligence in Trauma Care: A Systematic Review of Resuscitation, Diagnosis, Risk Prediction, and Management.

BACKGROUND: Artificial intelligence (AI) is increasingly being explored in trauma care as a tool to ...

Oral microbiome signatures predict biological age and host health.

Identifying robust, non-invasive biomarkers of biological age is key to preventive medicine. While g...

Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia.

Global implementation of gastric cancer (GC) screening in chronic dyspepsia populations faces challe...

Referral uptake after diabetic retinopathy screening with artificial intelligence-assisted care pathways: a systematic review and meta-analysis.

Artificial intelligence (AI) is an accurate screening tool for diabetic retinopathy (DR), the leadin...

Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City.

Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. Th...

Architectural and translational perspectives on clinical decision support systems for rare disease diagnosis: a scoping review.

BACKGROUND: Rare diseases remain difficult to diagnose because of phenotypic heterogeneity, limited ...

Voice recognition as an innovative method to identify and monitor heart failure - a review.

Screening of heart failure (HF) remains suboptimal. However, vocal biomarkers are an emerging tool t...

Comorbidity Burden and Length of Stay After Myocardial Infarction: A Retrospective Study Using Large Language Model-Assisted Chart Abstraction in a Tertiary Cardiac Hospital.

Patients' length of stay (LOS) during admission for myocardial infarction (MI) represents a closely ...

Reference Standard for Validation of Age-Related Macular Degeneration Screening Algorithms.

PURPOSE: Artificial intelligence (AI)-based screening models hold promise for identifying individual...

Time-to-event risk prediction of dual sensory loss in middle-aged patients with symptomatic knee osteoarthritis: model development, preliminary external validation, and explainability analysis.

BACKGROUND: Knee osteoarthritis (KOA) is a highly prevalent chronic condition that substantially imp...

Multimodal cardiovascular risk profiling using self-supervised learning of polysomnography.

STUDY OBJECTIVES: Polysomnography (PSG) provides a comprehensive assessment of brain, cardiac, and r...