Endocrinology

Diabetes

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

3,475 articles
Stay Ahead - Weekly Diabetes research updates
Subscribe
Browse Categories
Showing 2605-2625 of 3,475 articles
Calibrated Bayesian Deep Learning for Explainable Decision Support Systems Based on Medical Imaging

In critical decision support systems based on medical imaging, the reliability of AI-assisted decisi...

AI-Driven Clinical Decision Support System for Enhanced Diabetes Diagnosis and Management

Identifying type 2 diabetes mellitus can be challenging, particularly for primary care physicians. C...

Towards Affordable, Non-Invasive Real-Time Hypoglycemia Detection Using Wearable Sensor Signals

Accurately detecting hypoglycemia without invasive glucose sensors remains a critical challenge in d...

VFGS-Net: Frequency-Guided State-Space Learning for Topology-Preserving Retinal Vessel Segmentation

Accurate retinal vessel segmentation is a critical prerequisite for quantitative analysis of retinal...

Uncertainty-Aware Ordinal Deep Learning for cross-Dataset Diabetic Retinopathy Grading

Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycemia due to i...

Assessing extracellular vesicle proteins as predictive biomarkers for developing type 1 diabetes

Plasma extracellular vesicles (EVs) are considered excellent sources for biomarker discovery since t...

Context-Aware Asymmetric Ensembling for Interpretable Retinopathy of Prematurity Screening via Active Query and Vascular Attention

Retinopathy of Prematurity (ROP) is among the major causes of preventable childhood blindness. Autom...

Performance of Frangi-Hessian Pseudo-Labels for Retinal Vessel Segmentation in AI-Assisted Retinopathy of Prematurity Screening

Background: Retinopathy of prematurity (ROP) is a leading cause of preventable blindness among prete...

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

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

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impai...

A Mobile AI-enhanced Platform for Standardized Wound Assessment and Clinical Decision Support

Chronic wounds affect over 1.2 million Canadians and incur healthcare costs exceeding $13 billion an...

Experience with Single Domain Generalization in Real World Medical Imaging Deployments

A desirable property of any deployed artificial intelligence is generalization across domains, i.e. ...

Camera-Agnostic Autonomous Diagnosis of Glaucomatous Optic Neuropathy using Macular Fundus Imaging and Machine Learning

Abstract Purpose: Glaucoma, a leading cause of irreversible vision loss, often remains undiagnosed d...

ComPRePS: Unlocking Scalable AI Analysis for Computational Renal Pathology

Digital pathology using whole slide imaging (WSI) and artificial intelligence (AI) has the potential...

Early Prediction of Type 2 Diabetes Using Multimodal data and Tabular Transformers

This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction usi...

Structured Insight from Unstructured Data: Large Language Models for SDOH-Driven Diabetes Risk Prediction

Social determinants of health (SDOH) play a critical role in Type 2 Diabetes (T2D) management but ar...

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement

Retinal fundus photography is indispensable for ophthalmic screening and diagnosis, yet image qualit...

Pharmacogenomic Determinants of Post-Liver Transplant Diabetes Mellitus: A Systematic Review and In Silico Pharmacogenomic Analysis

Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index ...

Browse Categories