Endocrinology

Diabetes

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

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Showing 2563-2583 of 3,475 articles
Retinal Cyst Detection from Optical Coherence Tomography Images

Retinal Cysts are formed by leakage and accumulation of fluid in the retina due to the incompetence ...

Automatic Generation of Executable BPMN Models from Medical Guidelines

We present an end-to-end pipeline that converts healthcare policy documents into executable, data-aw...

Cardiometabolic health trajectories from birth to old age based on multi-decadal series of biochemistry and anthropometry

Background and aims: Direct evidence to connect early life metabolism with cardiometabolic diseases ...

TELF: An End-to-End Temporal Encoder with Late Fusion for Interpretable Disease Risk Prediction from Longitudinal Real-World Data

Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiologi...

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling

Type 2 diabetes case reports describe complex clinical courses, but their timelines are often expres...

Managing Diabetic Retinopathy with Deep Learning: A Data Centric Overview

Diabetic Retinopathy (DR) is a serious microvascular complication of diabetes, and one of the leadin...

Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification

Semi-supervised domain adaptation leverages a few labeled and many unlabeled target samples, making ...

Nanoscale Podocyte Morphometrics Predict Disease Progression in IgA Nephropathy

Introduction: Podocyte injury is central to the pathogenesis of most glomerulonephritides (GN) and c...

Shape2Fate: a morphology-aware deep learning framework for tracking endocytic and exocytic carriers at nanoscale.

Plasma membrane homeostasis requires balanced exocytosis and endocytosis, yet their coordination at ...

An Energy-Efficient Spiking Neural Network Architecture for Predictive Insulin Delivery

Diabetes mellitus affects over 537 million adults worldwide. Insulin-dependent patients require cont...

Retinal microvascular features are associated with CMR measures of subclinical cardiovascular dysfunction

Background Microvascular dysfunction is a key component of many cardiovascular (CV) diseases. Assess...

VOLMO: Versatile and Open Large Models for Ophthalmology

Vision impairment affects millions globally, and early detection is critical to preventing irreversi...

VOLMO: Versatile and Open Large Models for Ophthalmology

Vision impairment affects millions globally, and early detection is critical to preventing irreversi...

Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes

Understanding how biomarker distributions evolve over time is a central challenge in digital health ...

HMS-VesselNet: Hierarchical Multi-Scale Attention Network with Topology-Preserving Loss for Retinal Vessel Segmentation

Retinal vessel segmentation methods based on standard overlap losses tend to miss thin peripheral ve...

A Novel Dual-Outcome Risk Calculator for Trial of Labor After Cesarean

Objective: To develop and validate a multivariable prediction model and clinically actionable risk s...

From Carb Counting to Diagnosis: Real World Patient Uses and Attitudes Toward Large Language Models in Diabetes Management

Managing diabetes-related conditions is time-intensive and cognitively demanding for patients and ca...

Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach

Diabetic retinopathy screening traditionally relies on fundus photography, requiring specialized equ...

Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging

Regular monitoring of glycemic status is essential for diabetes management, yet conventional blood-b...

Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization

Generalizing image classification across domains remains challenging in critical tasks such as fundu...

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