Diabetes

Deep Learning-based Volition Detection and Action Potential Extraction for Fully Automated Diagnosis of Neuromuscular Disease Using Needle Electromyography Signals.

OBJECTIVE: This study aimed to develop a deep learning-based volition-detection model to automate th...

Ubiquitination-driven fibroblast dysfunction: a multi-omics blueprint for precision diagnosis and therapy in diabetic foot ulcer.

A modular deep learning architecture for interpretable disease prediction across tabular clinical and biometric datasets.

Accurate disease prediction using clinical datasets is essential for improving early diagnosis and c...

Screening for diabetes mellitus in the US population using neural network-based modeling and complex survey designs.

Complex survey designs are widely used in medical cohort studies. Developing risk score models that ...

Deep learning-powered quantification of endocrine cells and CD3+ T cells in the natural history of type 1 diabetes.

AIMS/HYPOTHESIS: Histopathological analysis in type 1 diabetes presents challenges in achieving prec...

Financial incentives increase uptake and perceived effectiveness of autonomous medical AI, yet patients still seek human reconfirmation.

Artificial intelligence (AI) is increasingly used for diagnostic screening. In diabetic retinopathy ...

Machine learning-assisted and simulation-based elucidation of phytochemical dipeptidyl peptidase-4 inhibitors towards safer therapeutics for diabetes.

A global problem with Diabetes Mellitus (type 2) is the disruption of insulin release as well as glu...

Cumulative stress hyperglycemia ratio exposure and dynamic trajectories reveal prognostic determinants of acute hyperlipidemic pancreatitis: an 5-year cohort study.

BACKGROUND: The stress hyperglycemia ratio (SHR) and glycemic variability (GV) both reflect acute gl...

Development and validation of a risk prediction model for dysglycaemia at 6-12 weeks postpartum in Chinese women with gestational diabetes: a retrospective cohort study.

BACKGROUND: Compared with normoglycaemic pregnancies, gestational diabetes mellitus (GDM) confers a ...

Prognostic Imaging Biomarkers in Diabetic Macular Edema Treated with Anti-VEGF: A Multicenter AI Perspective.

INTRODUCTION: This study aimed to identify optical coherence tomography (OCT) biomarkers at baseline...

Hyperglycemia-driven metabolic memory signaling destabilizes METTL1 to trigger inflammatory hypertrophy and fibrosis in diabetic cardiomyopathy.

BACKGROUND: Diabetic cardiomyopathy (DCM) occurs in the context of coronary artery disease or pressu...

Continuous Glucose Monitoring-Derived Metrics and Cardiovascular Risk Among People With Diabetes: Systematic Scoping Review.

BACKGROUND: Conventional clinical markers guide cardiovascular risk stratification; however, continu...

MORGAS (MORtality ORiented Glucose, Age, Smoking, and Stent Score) predicts mortality after percutaneous coronary intervention.

BACKGROUND: Accurate prediction of mortality after percutaneous coronary intervention (PCI) remains ...

Multimodal deep learning prediction of treatment response to anti-vascular endothelial growth factor in diabetic macular oedema.

OBJECTIVE: To develop and validate a multimodal deep learning model that predicts treatment response...

Artificial intelligence applications in OCT and OCTA for diabetic retinopathy: A systematic review.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide. Optical cohere...

Regional disparities and metabolic determinants of type 2 diabetes in women aged 55 and older.

OBJECTIVE: To assess long-term trends, regional disparities, determinants, and quality of care for t...

Classification of retinal diseases based on optical coherence tomography angiography using cross-modal transfer learning of domain-specific foundation AI models.

AIMS: This study evaluated the use of ophthalmic foundation deep-learning models with cross-modal tr...

Topology-preserving, diameter-specific framework for conjunctival vessel segmentation and tortuosity analysis in diabetes.

Diabetes is associated with progressive microvascular remodelling, commonly assessed using retinal i...

Non-destructive classification of type 2 diabetic teeth using LIBS-derived elemental biomarkers and machine learning.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic illness that severely alters oral...

AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.

The translation of big data analytics and artificial intelligence (AI) into clinical decision suppor...

An interpretable progressive residual network for automated multiclass diabetes diagnosis.

Diabetes mellitus remains one of the most widespread and burdensome chronic diseases worldwide, yet ...