Endocrinology

Diabetes

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

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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
AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings.

IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness...

Apr 2025 40299381
VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning.

OBJECTIVES: Early detection of diabetic retinopathy (DR) and timely intervention are critical for pr...

Mar 2025 40156773
Machine learning for risk prediction of acute kidney injury in patients with diabetes mellitus combined with heart failure during hospitalization.

This study aimed to develop a machine learning (ML) model for predicting the risk of acute kidney in...

Mar 2025 40155666
Real-World Type 2 Diabetes Second-Line Treatment Allocation Among Patients.

OBJECTIVE: This study aimed to evaluate the impact of socioeconomic disparities on the allocation of...

Mar 2025 40196266
Hybrid deep learning framework for diabetic retinopathy classification with optimized attention AlexNet.

Diabetic retinopathy (DR) is a chronic condition associated with diabetes that can lead to vision im...

Mar 2025 40154203
Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.

PURPOSE: We aimed to identify the mitochondria-related feature genes associated with type 2 diabetes...

Mar 2025 40213100
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
Interpretable machine learning method to predict the risk of pre-diabetes using a national-wide cross-sectional data: evidence from CHNS.

OBJECTIVE: The incidence of Type 2 Diabetes Mellitus (T2DM) continues to rise steadily, significantl...

Mar 2025 40140819
Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis.

: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mor...

Mar 2025 40282894
An interpreting machine learning models to predict amputation risk in patients with diabetic foot ulcers: a multi-center study.

BACKGROUND: Diabetic foot ulcers (DFUs) constitute a significant complication among individuals with...

Mar 2025 40201760
Which approach better predicts diabetes: Traditional econometric methods or machine learning? Evidence from a cross-sectional study in South Korea.

To prevent chronic disease from getting worse, it is important to detect and predict it at an early ...

Mar 2025 40121801
Learning from the machine: is diabetes in adults predicted by lifestyle variables? A retrospective predictive modelling study of NHANES 2007-2018.

OBJECTIVES: This study aimed to compare the performance of five machine learning algorithms to predi...

Mar 2025 40122552
Machine learning-based risk prediction model for neuropathic foot ulcers in patients with diabetic peripheral neuropathy.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes, marke...

Mar 2025 40116696
Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM.

For people with Type 1 diabetes (T1D), accurate blood glucose (BG) forecasting is crucial for the ef...

Mar 2025 39514345
The relationship between epigenetic biomarkers and the risk of diabetes and cancer: a machine learning modeling approach.

INTRODUCTION: Epigenetic biomarkers are molecular indicators of epigenetic changes, and some studies...

Mar 2025 40190762
Machine Learning-Assisted Portable Dual-Readout Biosensor for Visual Detection of Milk Allergen.

Beta-lactoglobulin (β-LG), the primary allergen in cow's milk, makes developing a rapid, sensitive, ...

Mar 2025 40111970
Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia.

BACKGROUND: Medication adherence plays a crucial role in determining the health outcomes of patients...

Mar 2025 40182636
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