Endocrinology

Diabetes

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

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Showing 421-441 of 4,093 articles
Using machine learning to identify individuals at elevated risk of diabetes from low-cost complete blood count data for opportunistic screening.

Type 2 diabetes and prediabetes remain substantially underrecognized, highlighting the need for prac...

Jun 2026 42362634
Repurposing Non-oncologic Drugs via Targeted Nanocarriers for Cancer Therapy: Mechanisms, Synergistic Combinations, and Clinical Translation.

The urgent need for innovative cancer therapies has driven increasing interest in repurposing drugs ...

(1)
Jun 2026 42362822
Implementation of artificial intelligence in healthcare in Aotearoa New Zealand: learnings from the diabetic retinal screening use case.

Artificial intelligence (AI) tools in diabetic retinal screening (DRS) are currently in use overseas...

Jun 2026 42348896
Artificial intelligence-based prediction of diseases among homeless populations in Bogotá: Implications for targeted interventions.

BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, wi...

(2)
Jun 2026 42361024
Metabolic and vascular outcomes after transition to the MiniMed 780G system in adults ≥65 years with type 1 diabetes: a randomised, single-centre study.

AIMS/HYPOTHESIS: Hybrid closed-loop insulin delivery systems are increasingly regarded as the prefer...

Jun 2026 42347980
Empowering digital health management with on-device large language models for glucose prediction: a model development and validation study.

BACKGROUND: Long-term management of chronic diseases such as diabetes is increasingly based on weara...

Jun 2026 42349253
Correlation between SHR and 28-day all-cause mortality risk in patients with spontaneous intracerebral hemorrhage.

BACKGROUND: The stress hyperglycemia ratio (SHR) has recently been suggested as a dependable indicat...

Jun 2026 42337711
Smartphone-based offline AI for multi-disease retinal screening: Real-world accuracy.

ObjectiveTo evaluate the diagnostic accuracy of a multi-disease offline artificial intelligence syst...

Jun 2026 42339716
The systems medicine view of semaglutide: from clinical trials to molecular mechanisms.

INTRODUCTION: Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA), is a key therapy in...

Jun 2026 42339860
Inflammation-mediated diabetes-liver disease cross-organ crosstalk: From molecular mechanisms to precision therapeutic strategies.

The rising global prevalence of diabetes mellitus and its liver complications presents a significant...

Jun 2026 42342070
Elucidating the therapeutic targets and multi-target mechanisms of salvianolic acid A for diabetic nephropathy.

Diabetic nephropathy (DN) is a leading cause of chronic kidney disease. Salvianolic acid A (SAA) has...

Jun 2026 42342966
Metabolomic signatures of brain aging: A multimodal and genetic study.

Accelerated brain aging is increasingly recognized as a transdiagnostic risk factor for neuropsychia...

Jun 2026 42337012
Frailty index and type 2 diabetes with renal complications: insights from Mendelian randomization and retrospective observational study.

OBJECTIVES: To investigate the relationship between frailty and diabetic kidney disease (DKD)-relate...

Jun 2026 42336394
Outer nuclear layer thinning as an in vivo biomarker for discriminating probable FTLD-tau from probable FTLD-TDP with PET-supported subtyping.

BACKGROUND AND OBJECTIVES: Outer nuclear layer (ONL) thinning has been identified in frontotemporal ...

Jun 2026 42337644
Precision Nutrition and Chronic Disease: Integrating Genomics, Microbiome, and Digital Health for Personalized Dietary Interventions.

Chronic non-communicable diseases (NCDs), including cardiovascular disease, type 2 diabetes, obesity...

Jun 2026 42336239
Quantifying the Economic Value of AI-Assisted Diabetic Retinopathy Screening: A Meta-Analysis Using the Incremental Net Benefit Framework.

OBJECTIVE: To quantitatively synthesize the economic value of artificial intelligence (AI)-assisted ...

Jun 2026 42336317
Privacy-aware diabetic retinopathy grading and visual lesion-focused interpretability through mixture-of-experts federated deep learning with explainable AI.

Diabetic Retinopathy (DR) is still a major cause of vision loss that can be avoided. This means that...

(4)
Jun 2026 42336935
An interpretable machine learning model for diabetic foot risk classification in patients with diabetes.

Diabetic foot is a severe chronic complication of diabetes, mainly resulting from peripheral neuropa...

Jun 2026 42336969
Interpretability of multimodal neural networks for prediction of visual acuity in patients with branch retinal vein occlusion.

Branch retinal vein occlusion (BRVO) can cause persistent visual impairment, and predicting long-ter...

Jun 2026 42337320
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