Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning.

BACKGROUND: Diabetic foot (DF) is a severe complication of type 2 diabetes mellitus (T2DM), contributing to significant morbidity and healthcare costs globally. Early prediction and intervention are critical for preventing amputations and improving patient outcomes. However, traditional statistical methods lack the capacity to handle high-dimensional clinical data and identify optimal predictive f...

Jan 16 2026 41546000

Diagnostic Accuracy of the National Library of Medicine (NLM) Screener Application in Screening for Malaria Parasites Among Blood Donors at the Korle-Bu Blood Bank, Ghana: A Cross-Sectional Study.

BACKGROUND AND AIMS: Malaria is a deadly disease spread through the bite of an infected female Anopheles mosquito and remains the leading cause of mortality globally. Screening donated blood for malaria parasites is essential to prevent its transmission; however, conventional methods have limitations in accuracy and sensitivity. The National Library of Medicine (NLM) mobile application that uses m...

Jan 16 2026 41550292
Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis.

Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, mult...

Jan 15 2026 41564636
Properties of AgNPs stabilized with polyvinylpyrrolidone relevant to antidiabetic agents.

Type 2 diabetes mellitus (DM2) is a chronic metabolic disease. Silver nanoparticles (AgNPs) show promise in their treatment. This study assessed the p...

Jan 15 2026 41369948
Considerations for the Adoption of Digital Algorithms and Cardiovascular Decision-Support Tools in Clinical Practice.

AIMS: Early detection of cardiovascular disease and implementation of evidence-based treatments can reduce cardiovascular morbidity and mortality. Med...

Jan 15 2026 41533922
Pediatric diabetes prediction using machine learning.

Diabetes is a chronic condition that affects a substantial portion of the global population and is linked to elevated mortality rates and a range of s...

Jan 15 2026 41540069
Machine learning identifies proteomic risk factors across 23 diseases.

Achieving minimally invasive and rapid detection is a crucial goal in modern medicine. The comprehensive characterization of the blood proteome holds ...

Jan 14 2026 41660256
PODiaCarD: a prototype of a digital twin platform for the management of pediatric obesity and related cardiometabolic complications.

UNLABELLED: Childhood obesity is the main driver of early metabolic risk, predisposing to cardiovascular disease (CVD) and type 2 diabetes (T2D), whic...

Jan 14 2026 41533053
Machine Learning Insights into Age-Related Sex Differences in Blood Pressure: Influence of Diabetes and Body Mass Index.

INTRODUCTION: The age-related dynamics of blood pressure (BP) arise from complex, often concurrent interactions among multiple factors (e.g., sex, typ...

Jan 14 2026 41533272
Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes.

Type 1 Diabetes (T1D) is a chronic metabolic disease characterized by elevated blood glucose (BG) concentrations, resulting from the immune-mediated d...

Jan 14 2026 41533628
Risk Factors and Prediction of Chronic Postsurgical Pain Among Patients With Distal Lower Extremity Fracture: Cohort Analysis.

BACKGROUND: The surgical interventions aimed at fracture repair are often accompanied by chronic postsurgical pain (CPSP), which is associated with de...

Jan 14 2026 41534081
Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study.

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent chronic musculoskeletal disorders among the older adult population. Screening popul...

Jan 14 2026 41534083
Coronary artery segmentation in non-contrast cardiac CT using anatomy-informed contrastive learning and synthetic data.

Non-contrast cardiac CT (NCCT) offers a low-dose, cost-effective alternative to coronary CT angiography (CCTA) for large-scale coronary artery disease...

Jan 14 2026 41534216
Identification of modifiable plasma protein markers of cardiometabolic risk in children and adolescents with obesity.

Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and steatotic liver disease. To identify circulating ...

Jan 14 2026 41535681
Comparative study of 11 machine learning algorithms for predicting recurrence risk after atrial fibrillation catheter ablation based on a real-world cohort: a retrospective study.

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia worldwide, with catheter ablation being an effective yet recurrence-prone treatment...

Jan 14 2026 41535753
The Role of AI in Improving Digital Wellness Among Older Adults: Comparative Bibliometric Analysis.

BACKGROUND: Advances in artificial intelligence (AI) have revolutionized digital wellness by providing innovative solutions for health, social connect...

Jan 14 2026 41540814
Old Criteria, New Intelligence: The Evolution of ECG in Pulmonary Hypertension Diagnosis.

BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need for improved early detection strategies. This revi...

Jan 14 2026 41544985
Assessment of Correlation Between Diabetic Retinopathy and Metabolic Biomarkers Using Artificial Intelligence.

BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangerous condition that impairs vision in diabetics. Pre...

Jan 14 2026 41541002
Performance across different versions of an artificial intelligence model for screen-reading of mammograms.

OBJECTIVES: Studies have reported promising results regarding artificial intelligence (AI) as a tool for improved mammographic screening interpretive ...

Jan 13 2026 41528472
SERS-based deep learning approach for early detection of gestational diabetes mellitus.

Early and precise diagnosis of gestational diabetes mellitus (GDM) is crucial for improving maternal and neonatal outcomes and reducing the risk of ad...

Jan 13 2026 41547262
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