Endocrinology - Page 182 | AI Medical Compendium

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Subcategories: Diabetes Menopause Osteoporosis Steroids Thyroid

Showing 3802-3822 of 6,527 articles

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

CoRLD: Contrastive Representation Learning Of Deformable Shapes In Images

Deformable shape representations, parameterized by deformations relative to a given template, have...

(2)

Mar 2025 http://arxiv.org/abs/2503.17162v2

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...

(1)

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

Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification

This research proposes a very lightweight model "Fibonacci-Net" along with a novel pooling techniq...

Mar 2025 http://arxiv.org/abs/2503.13928v1

Data-Driven Strategies for Carbimazole Titration: Exploring Machine Learning Solutions in Hyperthyroidism Control.

BACKGROUND: University Hospitals Dorset (UHD) has more than 1000 thyroid patient contacts annually. ...

Mar 2025 39271154

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

BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathog...

Mar 2025 40093674

SurgicalVLM-Agent: Towards an Interactive AI Co-Pilot for Pituitary Surgery

Image-guided surgery demands adaptive, real-time decision support, yet static AI models struggle w...

Mar 2025 http://arxiv.org/abs/2503.09474v1

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

This paper explores the application of reinforcement learning to optimize the parameters of a Type...

Mar 2025 http://arxiv.org/abs/2503.06701v1

Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments

Uncovering causal mediation effects is of significant value to practitioners seeking to isolate th...

Mar 2025 http://arxiv.org/abs/2503.06156v1

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

Diabetes is a prevalent chronic disease with significant health and economic burdens worldwide. Ea...

(3)

Mar 2025 http://arxiv.org/abs/2503.04137v1

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

Recently, the wearable and non-invasive blood glucose estimation approach has been proposed. Howev...

Mar 2025 http://arxiv.org/abs/2503.03770v1

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

Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after mea...

Mar 2025 http://arxiv.org/abs/2503.03935v1

Comprehensive Evaluation of OCT-based Automated Segmentation of Retinal Layer, Fluid and Hyper-Reflective Foci: Impact on Diabetic Retinopathy Severity Assessment

Diabetic retinopathy (DR) is a leading cause of vision loss, requiring early and accurate assessme...

Mar 2025 http://arxiv.org/abs/2503.01248v3

AI-Augmented Thyroid Scintigraphy for Robust Classification

Thyroid scintigraphy is a key imaging modality for diagnosing thyroid disorders. Deep learning mod...

Mar 2025 http://arxiv.org/abs/2503.00366v1

Two-Stage Deep Learning Model for Adrenal Nodule Detection on CT Images: A Retrospective Study.

Background The detection and classification of adrenal nodules are crucial for their management. Pur...

(1)

Mar 2025 40035671

Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning.

Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public healt...

Mar 2025 40063675

Personalized Causal Graph Reasoning for LLMs: A Case Study on Dietary Recommendations

Large Language Models (LLMs) effectively leverage common-sense knowledge for general reasoning, ye...

Feb 2025 http://arxiv.org/abs/2503.00134v1

RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering

Diabetic Macular Edema (DME), a prevalent complication among diabetic patients, constitutes a majo...

Feb 2025 http://arxiv.org/abs/2502.20224v2

Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses

Weakly supervised segmentation methods can delineate thyroid nodules in ultrasound images efficien...

Feb 2025 http://arxiv.org/abs/2502.19707v1