Primary Care

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

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Showing 568-588 of 13,855 articles
GERBEHRT: a BERT-based model tailored for German electronic health records - potential in chronic kidney disease prediction.

BACKGROUND: Chronic kidney disease (CKD) is a critical, progressive condition associated with high m...

Aug 2026 42557565
Early Adoption of Autonomous Artificial Intelligence Screening for Diabetic Retinopathy After Introduction of Medicare Billing Code 92229.

PURPOSE: Diabetic retinopathy remains a leading cause of blindness in the United States. Autonomous ...

(4)
Aug 2026 42554455
Deep Learning-based Automated Segmentation of Ultra-Widefield Retinal Vasculature for Cardiometabolic Disease Association Analysis.

Retinal vessel analysis in ultra-widefield (UWF) images provides a unique opportunity for large-scal...

(3)
Aug 2026 42555307
AI in Psychiatry for Improving Continuity of Patient Care: Protocol for a Mixed Methods Systematic Review.

BACKGROUND: Continuity of care is essential in psychiatric services due to the chronic, relapsing na...

(2)
Aug 2026 42555933
Automated Assessment of OCT Angiography Image Quality Using the Artificial Intelligence Ready and Exploratory Atlas for Diabetes Insights Data Set.

OBJECTIVE: OCT angiography (OCTA) images present challenges for clinical and research use due to var...

Aug 2026 42741389
Beyond the guidelines: Vascular function as the central determinant and therapeutic target in hypertension.

Hypertension has traditionally been defined and managed according to brachial blood pressure levels....

(3)
Aug 2026 42552401
Integrative Multi-Omics Analysis Identifies Key Molecular Targets Linking Bisphenol A Exposure to Gestational Diabetes Mellitus.

Bisphenol A (BPA) exposure is associated with gestational diabetes mellitus (GDM); however, the unde...

(3)
Aug 2026 42552472
The FERM guild: a differentially correlated microbial module drives hypertension via metabolic flux perturbations.

UNLABELLED: Hypertension is a major risk factor for cardiovascular diseases, with changes in gut mic...

(6)
Aug 2026 42549911
Toward the prevention of clinically manifest Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide and is projected to ...

(1)
Aug 2026 42550255
Plasma proteomics linking primary and secondary diseases: Insights into molecular mediation from UK Biobank data.

BACKGROUND: Diabetes, hypertension, and dyslipidemia are major risk factors for cardiovascular, neur...

(1)
Aug 2026 42551443
A machine learning-based framework for predicting type 2 diabetes mellitus using hematological indices.

OBJECTIVE: This study aimed to develop a machine learning (ML) framework to predict incident type 2 ...

(1)
Aug 2026 42602976
Performance, Safety, and Patient Experience of an Autonomous Robotic Phlebotomy Device: A Multicenter Trial.

BACKGROUND: Automated phlebotomy has the potential to improve patient outcomes and address phlebotom...

Aug 2026 41967464
Toward intelligent wearables: engineering self-powered triboelectric nanofiber sensors for the classification of risky ankle postures.

Triboelectric nanogenerators (TENGs) have emerged as promising platforms for self-powered sensing an...

Aug 2026 42300738
Addressing the Global Disparities in Access to Treatment in Spinal Muscular Atrophy.

The advent of novel disease-modifying therapeutics for spinal muscular atrophy (SMA) increased life ...

(3)
Aug 2026 42544732
Artificial Intelligence and Digital Technologies in Prakriti Assessment: Toward Standardized Evidence-Based Ayurvedic Practice.

Prakriti, the Ayurvedic concept of individual somatic constitution, forms the foundation for persona...

Aug 2026 42546498
Place-based ecological restoration and self-rated health: Quasi-experimental evidence from China.

Large-scale ecological restoration is increasingly promoted as a strategy for environmental sustaina...

(1)
Aug 2026 42561470
Prediction of coronary atherosclerosis progression in type 2 diabetes mellitus based on AI-derived CCTA parameters and clinical factors: a follow-up study.

OBJECTIVE: To develop a predictive model for coronary atherosclerosis progression in patients with t...

(3)
Aug 2026 42541542
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