Endocrinology

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

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Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients.

The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...

Apr 2025 40229548
Predicting High Glycemia Risk Index Trajectory in Individuals With Type 1 Diabetes and Long-term Continuously Glucose Monitoring.

The glycemia risk index (GRI) is an emerging metric designed to quantify the risk of both hypo- and ...

Apr 2025 40219808
Leveraging machine learning in precision medicine to unveil organochlorine pesticides as predictive biomarkers for thyroid dysfunction.

Exposure to organochlorine pesticides (OCPs) poses significant health risks, including cancer, endoc...

Apr 2025 40216832
Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is grow...

(1)
Apr 2025 40217199
Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot.

OBJECTIVE: This study aims to conduct an in-depth analysis of diabetic foot ulcer (DFU) images using...

Apr 2025 40270716
Transfer learning and data augmentation for glucose concentration prediction from colorimetric biosensor images.

A deep learning algorithm is introduced to accurately predict glucose concentrations using colorimet...

Apr 2025 40199789
Identification of thyroid cancer biomarkers using WGCNA and machine learning.

OBJECTIVE: The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis...

Apr 2025 40186253
An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment.

Chronic disease (CD) like diabetes and stroke impacts global healthcare extensively, and continuous ...

Apr 2025 40185954
A semantic segmentation model for automatic precise identification of pituitary microadenomas with preoperative MRI.

PURPOSE: Magnetic resonance imaging (MRI) is an essential technique for diagnosing pituitary adenoma...

Apr 2025 40183967
Personalized glucose forecasting for people with type 1 diabetes using large language models.

BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous ins...

Apr 2025 40188577
Machine learning fusion for glioma tumor detection.

The early detection of brain tumors is very important for treating them and improving the quality of...

Apr 2025 40175410
Gender Differences in Predicting Metabolic Syndrome Among Hospital Employees Using Machine Learning Models: A Population-Based Study.

BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysreg...

Apr 2025 40162697
Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs.

PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ...

(1)
Apr 2025 40169995
An Early Thyroid Screening Model Based on Transformer and Secondary Transfer Learning for Chest and Thyroid CT Images.

IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are...

Mar 2025 40165465
Machine learning in lymphocyte and immune biomarker analysis for childhood thyroid diseases in China.

OBJECTIVE: This study aims to characterize and analyze the expression of representative biomarkers l...

Mar 2025 40155866
Toward Accurate Deep Learning-Based Prediction of Ki67, ER, PR, and HER2 Status From H&E-Stained Breast Cancer Images.

Despite improvements in machine learning algorithms applied to digital pathology, only moderate accu...

Mar 2025 40143808
Future horizons in diabetes: integrating AI and personalized care.

Diabetes is a global health crisis with rising incidence, mortality, and economic burden. Traditiona...

Mar 2025 40213102
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