Primary Care

An exploratory study of multi-channel CNN for early detection of lung cancer from longitudinal healthcare records.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with poor survival rate...

Machine learning prediction for menopause women with low bone mass: a multicenter and retrospective study.

Early diagnosis of postmenopausal osteoporosis provides an opportunity to detect and prevent fractur...

[Artificial intelligence in pediatric ophthalmology: applications and perspectives].

Pediatric visual health is not only inextricably linked to an individual's lifelong cognitive develo...

Transforming hypoglycemia prediction in adult type 1 diabetes: a systematic review and meta-analysis for precision care.

Type 1 diabetes mellitus (T1DM) patients require lifelong insulin therapy; however, iatrogenic hypog...

Design and methodology of the AI-empowered Clinical Evidence for Integrated Chinese-Western Medicine (ACE-iMed) platform.

BACKGROUND: Integrated Chinese-Western medicine (ICWM) is a distinctive medical system that plays an...

Machine learning and regional homogeneity reveal early and subtle brain changes in type 1 diabetes.

BACKGROUND AND PURPOSE: Type 1 diabetes mellitus (T1DM) usually begins early in life, and its develo...

Comment on "A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus".

Artificial intelligence-driven rational design and optimization of a potent terpenoid-derived PCSK9 inhibitor.

Hypercholesterolemia is a pivotal risk factor for cardiovascular diseases, and its effective managem...

Clinician engagement shapes the impact of AI-based ECG screening for chronic liver disease in primary care.

Artificial intelligence (AI)-based screening tools show promise for early identification of chronic ...

When to stop reviewing: validation of stop criteria in ASReview.

BACKGROUND: Systematic reviews are essential for evidence-based research, but they often require a g...

Discharge medical treatment implementation and predictors of a successful decongestion in patients with acute heart failure: first data from the BRING-UP 3 Heart Failure Study.

BACKGROUND: Real-world uptake of guideline-directed medical therapy (GDMT) at hospital discharge and...

Molecular basis of precision nutrition: Food components, microbiome-derived metabolites, and multi-omics modeling.

Metabolic disorders, including obesity, type 2 diabetes, metabolic syndrome, and fatty liver disease...

Beyond the Mean: A Machine Learning-Based Trend Analysis of CGM Metrics for Improved HbA1C Estimation in Type 2 Diabetes.

BACKGROUND: Hemoglobin A1C (HbA1C) is the gold standard for assessing long-term glycemic control in ...

From Lumen to Myocardium With Artificial Intelligence: A Clinician's Guide to Comprehensive Cardiac CT.

Coronary artery disease assessment has long focused on stenosis severity, yet luminal narrowing alon...

Communication-Based Teaching on Childhood Obesity and the Planetary Health Diet in Medical Education: Proof-of-Concept Study Comparing 4 Information Sources.

BACKGROUND: Childhood obesity constitutes a complex medical and psychosocial challenge that requires...

Machine Learning-Based Multidimensional Oximetry for Obstructive Sleep Apnea Screening: Development and External Validation.

BACKGROUND: Obstructive sleep apnea (OSA) affects nearly one billion people globally and poses a sub...

Bridging survival analysis and machine learning to improve healthy life expectancy estimation using PHR records.

Healthy Life Expectancy (HLE) considers the years an individual has lived free of disease. Minimisin...

Deep learning prediction of nocturnal hypertension for patients intolerant to ambulatory blood pressure monitoring.

BACKGROUND: Ambulatory blood pressure monitoring (ABPM) plays an irreplaceable role in the diagnosis...

A modular deep learning architecture for interpretable disease prediction across tabular clinical and biometric datasets.

Accurate disease prediction using clinical datasets is essential for improving early diagnosis and c...

Plasma proteomic profiles reveal proteins and characteristic patterns associated with hypertension: A prospective cohort study.

BACKGROUND: Longitudinal proteomic studies on hypertension remain scarce. We evaluated the epidemiol...

Risk classification of oral potentially malignant disorders (OPMDs) using explainable machine learning through a community-based cross-sectional study in rural India.

BACKGROUND: Oral cancer is a major public health problem among the population of India. In rural set...