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Endocrinology Subcategories: Diabetes Menopause Osteoporosis Steroids Thyroid

Showing 2752-2772 of 3,475 articles

Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.

CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabet...

Apr 2025 39011974

Enhancing DR Classification with Swin Transformer and Shifted Window Attention

Diabetic retinopathy (DR) is a leading cause of blindness worldwide, underscoring the importance o...

Apr 2025 http://arxiv.org/abs/2504.15317v1

Interpretable AI-driven Guidelines for Type 2 Diabetes Treatment from Observational Data

Objective: Create precise, structured, data-backed guidelines for type 2 diabetes treatment progre...

Apr 2025 http://arxiv.org/abs/2504.12417v1

Neural Networks for on-chip Model Predictive Control: a Method to Build Optimized Training Datasets and its application to Type-1 Diabetes

Training Neural Networks (NNs) to behave as Model Predictive Control (MPC) algorithms is an effect...

Apr 2025 http://arxiv.org/abs/2504.11355v1

[Current applications and challenges of artificial intelligence in diabetes management].

In recent years, the rapid development of artificial intelligence (AI) has brought innovative opport...

Apr 2025 40222826

Integrating Vision and Location with Transformers: A Multimodal Deep Learning Framework for Medical Wound Analysis

Effective recognition of acute and difficult-to-heal wounds is a necessary step in wound diagnosis...

Apr 2025 http://arxiv.org/abs/2504.10452v1

Progressive Transfer Learning for Multi-Pass Fundus Image Restoration

Diabetic retinopathy is a leading cause of vision impairment, making its early diagnosis through f...

Apr 2025 http://arxiv.org/abs/2504.10025v1

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals

Frequent and long-term exposure to hyperglycemia (i.e., high blood glucose) increases the risk of ...

Apr 2025 http://arxiv.org/abs/2504.09846v1

Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes

The dead-in-bed syndrome describes the sudden and unexplained death of young individuals with Type...

Apr 2025 http://arxiv.org/abs/2504.09299v1

Multi-modal and Multi-view Fundus Image Fusion for Retinopathy Diagnosis via Multi-scale Cross-attention and Shifted Window Self-attention

The joint interpretation of multi-modal and multi-view fundus images is critical for retinopathy p...

Apr 2025 http://arxiv.org/abs/2504.09106v1

Mobile-Driven Incentive Based Exercise for Blood Glucose Control in Type 2 Diabetes

We propose and create an incentive based recommendation algorithm aimed at improving the lifestyle...

Apr 2025 http://arxiv.org/abs/2504.13909v1

Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals

Metabolic Syndrome (MetS) is a cluster of interrelated risk factors that significantly increases t...

Apr 2025 http://arxiv.org/abs/2504.06987v2

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods

Geometric Machine Learning (GML) has shown that respecting non-Euclidean geometry in data spaces c...

Apr 2025 http://arxiv.org/abs/2504.06328v1

WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care

Chronic wounds affect a large population, particularly the elderly and diabetic patients, who ofte...

Apr 2025 http://arxiv.org/abs/2504.06185v1

Diabetic Retinopathy Detection Based on Convolutional Neural Networks with SMOTE and CLAHE Techniques Applied to Fundus Images

Diabetic retinopathy (DR) is one of the major complications in diabetic patients' eyes, potentiall...

Apr 2025 http://arxiv.org/abs/2504.05696v1

Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans

Monitoring maternal and fetal health during pregnancy is crucial for preventing adverse outcomes. ...

Apr 2025 http://arxiv.org/abs/2504.05627v1

Improving Early Prediction of Type 2 Diabetes Mellitus with ECG-DiaNet: A Multimodal Neural Network Leveraging Electrocardiogram and Clinical Risk Factors

Type 2 Diabetes Mellitus (T2DM) remains a global health challenge, underscoring the need for early...

Apr 2025 http://arxiv.org/abs/2504.05338v1

Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms

Diabetic Retinopathy (DR) is a serious and common complication of diabetes, caused by prolonged hi...

Apr 2025 http://arxiv.org/abs/2504.03439v1

Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health.

Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...

Apr 2025 39932872

Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images

This study aimed to develop a machine learning (ML) algorithm capable of determining cardiovascula...

Apr 2025 http://arxiv.org/abs/2504.02868v1

Implementation of A New, Mobile Diabetic Retinopathy Screening Model Incorporating Artificial Intelligence in Remote Western Australia.

OBJECTIVE: Diabetic retinopathy (DR) screening rates are poor in remote Western Australia where comm...

Apr 2025 40110918