Diabetes

Development of autoencoder-guided attention-LSTM models for predicting nocturnal hypoglycemia risk in Type 1 Diabetes.

OBJECTIVE: Nocturnal hypoglycemia (NH) is a major, often undetected risk for individuals with Type 1...

Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation.

Artificial intelligence (AI) is rapidly transforming the landscape of chronic medical conditions, su...

Triglyceride-Glucose-Waist-to-Weight Index: Novel Biomarker for Mild Cognitive Impairment in Older People With Sarcopenic Obesity.

BACKGROUND: Sarcopenic obesity (SO) is closely associated with mild cognitive impairment (MCI). Howe...

Literature Commentary June, 2026.

In this issue, the following 4 articles are reviewed by Drs. Mark L. Moster and Deborah I. Friedman,...

[Artificial intelligence in diabetic retinopathy screening].

INTRODUCTION: Visual impairment and blindness continue to represent a substantial disease burden in ...

Deep learning-based CT-derived vertebral bone mineral density and metformin therapy: a longitudinal study in the Multi-Ethnic Study of Atherosclerosis.

OBJECTIVE: Evidence on metformin's skeletal effects remains conflicting. We emulated a target trial ...

An AI-Driven Pipeline for Localization, Segmentation, and Classification of Carpal Tunnel Syndrome Using Ultrasound Images of the Median Nerve.

BACKGROUND: Carpal tunnel syndrome (CTS), the most common peripheral neuropathy, is currently diagno...

Does lens opacity matter? The effect of cataract on deep learning based cardiovascular disease risk scores from fundus photos.

PURPOSE: To investigate the effect of cataracts on a deep learning (DL) model for cardiovascular dis...

Machine learning and SHAP interpretation for predicting coronary heart disease-diabetes comorbidity with dietary antioxidants.

Coronary heart disease (CHD) and diabetes mellitus frequently co-occur through shared mechanisms suc...

Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh.

Diabetes mellitus (DM) is an escalating global public health concern, with a rapidly increasing burd...

Electronic health record-derived machine learning model for hypoglycemia risk prediction in type 2 diabetes mellitus patients: development and validation.

BACKGROUND: Hypoglycemia is a serious complication of diabetes. Early recognition of hypoglycemia ca...

Application of construction and validation of logistic regression model in risk prediction of non-proliferative diabetic retinopathy in type 2 diabetes mellitus.

AIMS: Diabetic retinopathy (DR) is a leading cause of vision impairment in type 2 diabetes mellitus ...

Integration of network pharmacology, deep learning, and molecular biology reveals the efficacy of Citrus aurantium L. var. amara Engl. blossom extract in ameliorating diabetic osteoporosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Diabetic osteoporosis (DOP) is a type of metabolic bone disease. Blo...

Personalized non-invasive continuous glucose monitoring via multiparameter-informed machine learning.

Non-invasive continuous glucose monitoring (NCGM) based on reverse iontophoresis (RI) holds consider...

Capturing multi-disease states on a spectrum with machine learning and routine clinical data.

BACKGROUND: Diseases exist on spectra of risk factors, cellular perturbations, organ dysfunction, an...

Retinal lesion annotation on fundus imaging: an interobserver variability study.

Accurate detection and segmentation of retinal lesions in fundus photographs is essential for diagno...

RAS pathway activity subtypes identified by machine learning define prognostic and immune microenvironment characteristics in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD), the predominant histological subtype of non-small cell lung ...

AI driven Hybrid CNN transformer model for early detection and severity assessment of diabetic retinopathy.

As the major cause of sight impairment in working age adults is diabetic retinopathy (DR) which requ...

Third-party governance and artificial intelligence for diabetes management in primary health care, China.

PROBLEM: Fragmented primary health care in China fails to tackle the growing burden of noncommunicab...

Artificial intelligence in diabetic macular edema: Expanding clinical vision.

Using artificial intelligence-assisted retinal imaging devices operated by non-specialist workers in detecting diabetic retinopathy in Sri Lanka.

BACKGROUND: Diabetic retinopathy (DR), a microvascular complication of diabetes, is an important cau...