Endocrinology

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

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Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for patients with pituitary adenoma.

This study aimed to develop and validate machine learning (ML) models to predict the occurrence of d...

(1)
Jan 2025 39789007
A machine learning model accurately identifies glycogen storage disease Ia patients based on plasma acylcarnitine profiles.

BACKGROUND: Glycogen storage disease (GSD) Ia is an ultra-rare inherited disorder of carbohydrate me...

(2)
Jan 2025 39789579
The effect of renal function on the clinical outcomes and management of patients hospitalized with hyperglycemic crises.

BACKGROUND: The global prevalence of diabetes has been rising rapidly in recent years, leading to an...

Jan 2025 39850482
Machine learning and molecular dynamics simulations predict potential TGR5 agonists for type 2 diabetes treatment.

INTRODUCTION: Treatment of type 2 diabetes (T2D) remains a significant challenge because of its mult...

Jan 2025 39850718
Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches.

Deep learning-based medical image analysis has shown strong potential in disease categorization, seg...

(3)
Jan 2025 39779778
Exploring the effect of gestational diabetes mellitus on retinal vascular morphology by PKSEA-Net.

BACKGROUND: Gestational diabetes mellitus (GDM) is a temporary metabolic disorder in which small ret...

Jan 2025 39845084
Enhancing repeatability of follicle counting with deep learning reconstruction high-resolution MRI in PCOS patients.

Follicle count, a pivotal metric in the adjunct diagnosis of polycystic ovary syndrome (PCOS), is of...

Jan 2025 39775101
Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning.

Polycystic ovary syndrome (PCOS) is a primary endocrine disorder affecting premenopausal women invol...

Jan 2025 39775242
A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes.

INTRODUCTION: The incidence of type 2 diabetes mellitus (T2DM) has increased in recent years. Alongs...

Jan 2025 39839293
Predicting and Ranking Diabetic Ketoacidosis Risk Among Youth with Type 1 Diabetes with a Clinic-to-Clinic Transferrable Machine Learning Model.

To use electronic health record (EHR) data to develop a scalable and transferrable model to predict...

(1)
Jan 2025 39761067
Beyond the hot flashes: how machine learning is uncovering the complexity of menopause-related depression.

BACKGROUND: The transition into menopause marks a significant stage in a woman's life, indicating th...

Jan 2025 39757448
A novel RFE-GRU model for diabetes classification using PIMA Indian dataset.

Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a var...

(1)
Jan 2025 39762262
Curcumin nanocrystals ameliorate ferroptosis of diabetic nephropathy through glutathione peroxidase 4.

OBJECTIVE: The aim of this study was to investigate the effect of curcumin nanocrystals (Cur-NCs) on...

Jan 2025 39834811
mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows.

Glucose transporters are essential carrier proteins that function on the phospholipid bilayer to fac...

(1)
Jan 2025 39761890
Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound.

PURPOSE: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS cla...

Jan 2025 39751996
Development of machine learning models for diagnostic biomarker identification and immune cell infiltration analysis in PCOS.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of repro...

Jan 2025 39754246
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