Diabetes

Artificial intelligence-based fluid quantification predicts clinical outcomes in diabetic macular oedema eyes treated with intravitreal dexamethasone implants: DIADEMA project.

AIM: To explore associations between artificial intelligence (AI)-based baseline optical coherence t...

NLP-ROPCare: predicting retinopathy of prematurity with admission notes using natural language processing.

OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of blindness in children worldwide, ...

Classifying retinal images via vascular-optic disc cross-segmentation and attentive feature selection.

The prevalence of retinal disorders is rising at an alarming rate, posing a significant risk of irre...

Stress hyperglycemia ratio improves machine learning-based mortality risk prediction in critically ill COVID-19 patients: a multicenter retrospective study.

Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning.

BACKGROUND: Diabetic foot (DF) is a severe complication of type 2 diabetes mellitus (T2DM), contribu...

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis.

Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complem...

Properties of AgNPs stabilized with polyvinylpyrrolidone relevant to antidiabetic agents.

Type 2 diabetes mellitus (DM2) is a chronic metabolic disease. Silver nanoparticles (AgNPs) show pro...

Pediatric diabetes prediction using machine learning.

Diabetes is a chronic condition that affects a substantial portion of the global population and is l...

AI-Enhanced Imaging for Diabetic Foot Ulcer Risk Assessment and Diagnosis: A Retrospective Cohort Study.

BACKGROUND: The automated assessment and prediction of diabetic foot ulcer (DFU) severity depends he...

Serial Aqueous Humor Proteomics in Diabetic Macular Edema: Correlation of Novel Targets with Retinal Fluid Volume.

OBJECTIVE: Diabetic macular edema (DME) with incomplete response to anti-VEGF therapy is a significa...

PODiaCarD: a prototype of a digital twin platform for the management of pediatric obesity and related cardiometabolic complications.

UNLABELLED: Childhood obesity is the main driver of early metabolic risk, predisposing to cardiovasc...

Machine Learning Insights into Age-Related Sex Differences in Blood Pressure: Influence of Diabetes and Body Mass Index.

INTRODUCTION: The age-related dynamics of blood pressure (BP) arise from complex, often concurrent i...

Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes.

Type 1 Diabetes (T1D) is a chronic metabolic disease characterized by elevated blood glucose (BG) co...

Identification of modifiable plasma protein markers of cardiometabolic risk in children and adolescents with obesity.

Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and...

Assessment of Correlation Between Diabetic Retinopathy and Metabolic Biomarkers Using Artificial Intelligence.

BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangero...

SERS-based deep learning approach for early detection of gestational diabetes mellitus.

Early and precise diagnosis of gestational diabetes mellitus (GDM) is crucial for improving maternal...

Risk Factors and an Interpretable Machine Learning Model for Predicting Spinal Epidural Lipomatosis: A Multicenter Study.

STUDY DESIGN: A retrospective multicenter study. OBJECTIVE: To identify independent risk factors for...

Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values.

OBJECTIVE(S): To develop and internally validate an interpretable machine learning model using eXtre...

A clinical dataset on type-2 diabetes including demographic, anthropometric, and biochemical parameters from Bangladesh.

Type-2 diabetes is a major public health concern in Bangladesh, and this dataset provides 1065 curat...

Predicting cardiovascular diseases using imbalanced data: An XGBoost-based analysis of the 2022 BRFSS dataset.

BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising ...

A multi-target therapeutic framework for Alzheimer's disease: an integrative mechanistic review.

BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder...