Diabetes

Comparative Mortality Risk of Aripiprazole, Olanzapine, Quetiapine, and Risperidone in Alzheimer's Disease: A Real‑World Retrospective Cohort Study with Treatment Effect Heterogeneity Analysis.

BACKGROUND: Second-generation antipsychotics (SGAs) are frequently used off-label to manage behavioral symptoms in Alzheimer's disease (AD), despite ongoing concerns about their safety. Comparative evidence on mortality risk across specific SGAs remains limited. In this study, we aim to compare all-cause mortality among patients with AD treated with one of the commonly prescribed SGAs and to explo...

Long term evolutions of hard exudates after anti-VEGF therapy for diabetic macular oedema.

PURPOSE: To evaluate longitudinal change in hard exudate (HEs) volume over 5-years following anti-VEGF treatment for diabetic macular oedema (DMO). METHODS: This study was a post-hoc analysis of structural optical coherence tomography (OCT) volume scans collected in the Diabetic Retinopathy Clinical Research Network Protocol T extension trial. A deep learning model was used to segment HEs and comp...

A systematic review of the use of artificial intelligence in mental health-based diabetes care: Current applications and future directions.

AIMS: To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify tren...

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-metabolic (CKM) syndrome and has been implicated in ad...

The transformative role of artificial intelligence in gestational diabetes mellitus: advancements in screening, management, and long-term outcome prediction.

PURPOSE: Artificial intelligence (AI) has emerged as a pivotal tool in enhancing the management of gestational diabetes mellitus (GDM). With its risin...

Lower limb and feet wound image dataset.

A comprehensive wound-related image repository was developed to address critical gaps in existing medical imaging resources, particularly the lack of ...

Machine Learning Models to Evaluate County-Level Incidence of Diagnosed Diabetes and Sociodemographic Factors.

AIMS: To evaluate county-level incidence of diagnosed diabetes and key sociodemographic factors in a high-dimensional, nonlinear setting. METHODS: Thi...

OMICS Data in the Diagnosis of Diabetic Retinopathy: A Comparison between Transcriptome Data and DNA Methylation Data.

PURPOSE: Diabetic retinopathy is a serious complication of diabetes that can damage the retina of the eye. It potentially leads to vision impairment o...

Predicting future kidney function in type 2 diabetes mellitus using machine learning and baseline health information.

Algorithm-guided insulin therapy in hospitalized patients: current evidence, implementation challenges, and future perspectives.

Retinal imaging and AI for non-invasive detection of diabetic macrovascular complications.

BACKGROUND: Diabetes mellitus accelerates vascular degeneration and increases the risk of major macrovascular complications, including Peripheral Arte...

Cardiovascular outcomes and subclinical atherosclerosis in metabolic-associated steatotic liver disease: long-term follow-up from a specialized outpatient cohort.

BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated steatotic liver disease (MASLD). This study evaluat...

Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease.

The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on conditions like gestational hypertension (GH) and g...

Ten-Year Trends in Healthcare Use and Costs for People Living with Diabetes in France: Results from the Epicodiab Study Based on National Claims Data.

INTRODUCTION: Diabetes remains a global public health concern, with increased prevalence and a significant economic burden. Yet, most studies do not d...

Saliency-Aware Mutual Learning for enhanced retinal Image Quality Assessment in diabetic retinopathy diagnostics.

In computer-assisted diagnostics, assessing the quality of retinal images, especially for DR, is vital. While current Image Quality Assessment (IQA) m...

Can artificial intelligence bridge the gaps for primary diabetes care in low-income and middle-income countries?

Artificial intelligence (AI) has the potential to improve primary diabetes care in low-income and middle-income countries (LMICs), where the rising bu...

Development and internal validation of a machine learning-based model to predict 1-year all-cause mortality in patients with gastrointestinal bleeding with type 2 diabetes.

An enhanced diabetic retinopathy detection approach using optimized deep learning technique.

Diabetic Retinopathy (DR) remains a leading cause of vision loss among diabetic patients, underscoring the importance of early detection through relia...

Digital twin technologies for supporting self-care in adults with diet-related chronic conditions: a systematic review.

BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality. Effective management of these conditions require...

Sex Differences in the Associations Between Visceral Adiposity and Hepatic Insulin Clearance in Type 2 Diabetes Mellitus: A Quantitative CT Study.

AIMS: To investigate sex-related differences in the association of body fat distribution with hepatic insulin clearance (HIC) in type 2 diabetes melli...