Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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Showing 232-252 of 4,093 articles
Behavioral Mechanisms of a Digital Health Intervention for Self-Management in Type 2 Diabetes Mellitus: Prospective Longitudinal Cohort Study.

BACKGROUND: Sustaining self-management is critical for optimizing clinical outcomes in individuals w...

Aug 2026 42573581
Deep Learning Algorithm-Guided Raman Spectroscopy for Real-Time Correlation of Critical Process Parameters and Titers in Lentiviral Vector.

Manufacturing scalability and cost efficiency of Lentiviral vector (LV) production for gene therapy ...

Aug 2026 42574549
Insulin like growth factor and cytokine signalling predict future cognitive impairment in Parkinson's disease.

Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). H...

(1)
Aug 2026 42571858
An update on biofilms in acute and chronic wounds: Incidence, clinical evidence, diagnosis, prevention, and treatment.

Pathogenic biofilms are a critical barrier to wound healing, driving infection persistence, delayed ...

(1)
Aug 2026 42566190
AI Designed Conformation Locking Peptides Target STING to Restore Diabetic Wound Healing.

Diabetic foot ulcers are a major complication of diabetes characterized by persistent inflammation a...

Aug 2026 42567706
A three-metabolite microbiota-associated signature for early risk stratification of gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and lo...

Aug 2026 42568080
Assessment of image quality and radiation dose in low-dose, low-contrast computed tomography coronary angiogram: a systematic review and meta-analysis.

AIM: Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide. Com...

(1)
Aug 2026 42667811
Diagnostic Likelihood Ratios for Glaucoma Using Deep Learning-Predicted Retinal Nerve Fiber Layer Thickness from Fundus Photographs.

PURPOSE: To translate continuous retinal nerve fiber layer (RNFL) thickness values predicted by a de...

(1)
Aug 2026 42733770
Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies.

This scoping review synthesized clinical validation evidence of artificial intelligence (AI) algorit...

Aug 2026 42556576
Clinical-guided deep learning framework for diabetic retinopathy: integrating lesion-aware attention, adversarial augmentation, and uncertainty quantification.

The global prevalence of diabetic retinopathy (DR) is increasing in parallel with the rising burden ...

(4)
Aug 2026 42557287
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 ...

(2)
Aug 2026 42554455
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....

(2)
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...

(2)
Aug 2026 42552472
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 ...

Aug 2026 42602976
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...

(1)
Aug 2026 42541542
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