Endocrinology

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

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Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+

To improve the segmentation of diabetic retinopathy lesions (microaneurysms, hemorrhages, exudates...

Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading

Diabetic retinopathy is a serious ocular complication that poses a significant threat to patients'...

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...

(2)
Apr 2025 39011974
ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification

Background: Automated classification of thyroid Fine Needle Aspiration Biopsy (FNAB) images faces ...

Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis

Neuroblastoma, adrenal-derived, is among the most common pediatric solid malignancies, characteriz...

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...

[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
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...

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...

(4)
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals

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

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...

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
[Ten-year development and prospects of robotic thyroid surgery in China].

The robotic surgical system is a comprehensive system integrating multiple modern high technologies....

(1)
Apr 2025 40058778
Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models

Accurate and quick diagnosis of normal brain tissue Glioma, Meningioma, and Pituitary Tumors is cr...

(1)
Integrating Large Language Models with Human Expertise for Disease Detection in Electronic Health Records

Objective: Electronic health records (EHR) are widely available to complement administrative data-...

Identification of hypertension subtypes using microRNA profiles and machine learning.

OBJECTIVE: Hypertension is a major cardiovascular risk factor affecting about 1 in 3 adults. Althoug...

Mar 2025 40105001
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