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Endocrinology Subcategories: Diabetes Menopause Osteoporosis Steroids Thyroid

Showing 2773-2793 of 3,475 articles

Relationships Between Retinal Vascular Characteristics and Systemic Indicators in Patients With Diabetes Mellitus.

PURPOSE: To develop a deep learning method for vessel segmentation in fundus images, measure retinal...

Apr 2025 40272369

Integrating Bioinformatics and Machine Learning to Identify Glucose Metabolism-Related Biomarkers with Diagnostic and Prognostic Value for Patients with Kidney Renal Clear Cell Carcinoma.

BACKGROUND: Glucose metabolism plays a critical role in the development and progression of kidney re...

Apr 2025 40341002

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-...

Mar 2025 http://arxiv.org/abs/2504.00053v1

What is the role of human decisions in a world of artificial intelligence: an economic evaluation of human-AI collaboration in diabetic retinopathy screening

As Artificial intelligence (AI) has been increasingly integrated into the medical field, the role ...

Mar 2025 http://arxiv.org/abs/2503.20160v1

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection

Multi-view diabetic retinopathy (DR) detection has recently emerged as a promising method to addre...

Mar 2025 http://arxiv.org/abs/2503.19329v1

Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling

Type 1 Diabetes (T1D) management is a complex task due to many variability factors. Artificial Pan...

Mar 2025 http://arxiv.org/abs/2503.19158v2

The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes

The growing worldwide incidence of diabetes requires more effective approaches for managing blood ...

Mar 2025 http://arxiv.org/abs/2503.18592v1

Limits of trust in medical AI

Artificial intelligence (AI) is expected to revolutionize the practice of medicine. Recent advance...

Mar 2025 http://arxiv.org/abs/2503.16692v2

Real-world validation of a multimodal LLM-powered pipeline for High-Accuracy Clinical Trial Patient Matching leveraging EHR data

Background: Patient recruitment in clinical trials is hindered by complex eligibility criteria and...

Mar 2025 http://arxiv.org/abs/2503.15374v1

Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients

Causal abstraction techniques such as Interchange Intervention Training (IIT) have been proposed t...

Mar 2025 http://arxiv.org/abs/2503.14442v1

AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network

Diabetic retinopathy is a leading cause of blindness in diabetic patients and early detection play...

Mar 2025 http://arxiv.org/abs/2503.14209v1

Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis

Hypertensive retinopathy (HR) is a severe eye disease that may cause permanent vision loss if not ...

Mar 2025 http://arxiv.org/abs/2503.01603v1

Endocrinology

Browse Categories

Relationships Between Retinal Vascular Characteristics and Systemic Indicators in Patients With Diabetes Mellitus.

Integrating Bioinformatics and Machine Learning to Identify Glucose Metabolism-Related Biomarkers with Diagnostic and Prognostic Value for Patients with Kidney Renal Clear Cell Carcinoma.

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

What is the role of human decisions in a world of artificial intelligence: an economic evaluation of human-AI collaboration in diabetic retinopathy screening

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection

Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling

The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes

Limits of trust in medical AI

Real-world validation of a multimodal LLM-powered pipeline for High-Accuracy Clinical Trial Patient Matching leveraging EHR data

Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients

AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network

Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes.

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

A Novel Ophthalmic Benchmark for Evaluating Multimodal Large Language Models with Fundus Photographs and OCT Images

Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach

Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments

Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation

A Comparative Study of Diabetes Prediction Based on Lifestyle Factors Using Machine Learning

Fusion of Various Optimization Based Feature Smoothing Methods for Wearable and Non-invasive Blood Glucose Estimation

GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity

Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis

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