Endocrinology

Diabetes

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

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Episode-Driven Insights: Can Large Language Models Tackle Multimodal Diabetes Data?

This study explores the potential of state-of-the-art large language models (LLM) to scaffold type 1...

GlucoseGo: A Simple, User-Friendly, Machine Learning-Derived Tool for Predicting Exercise-Related Hypoglycaemia Risk in Type 1 Diabetes

This study aims to develop an accessible, machine learning-derived tool for people with type 1 diabe...

Developing a GraphRAG-enabled local-LLM for Gestational Diabetes Mellitus

This paper re-imagines a world of abundance in the treatment of chronic diseases such as Tpe 2 Diabe...

Machine learning models for the prediction of COVID-19 prognosis in the primary health care setting

This study aimed to identify prognostic factors associated with poor outcomes of COVID-19 at diagnos...

Nocturnal Glycemic Stability Index

The Nocturnal Glycemic Stability Index (NGSI) is a novel quantitative metric designed to comprehensi...

RFA-U-Net: A Foundation Model-Driven Approach for Accurate Choroid Segmentation in OCT Imaging

The choroid layer plays a critical role in maintaining outer retinal health and is implicated in num...

Integrative Machine Learning Approach to Risk Prediction for Dementia and Alzheimer’s Disease

Dementia, especially Alzheimer’s disease (AD), is a major global health challenge marked by progress...

Prediction of Cardiovascular and Renal Complications of Diabetes by a multi-Polygenic Risk Score in Different Ethnic Groups

We developed a multi-Polygenic risk score (multiPRS) to predict the risk of nephropathy, stroke, and...

Artificial Intelligence-Driven Innovations in Diabetes Care and Monitoring

This study explores Artificial Intelligence (AI)’s transformative role in diabetes care and monitori...

Artificial Intelligence for Early Detection and Prognosis Prediction of Diabetic Retinopathy

This review explores the transformative role of artificial intelligence (AI) in the early detection ...

Enhancing Fairness in Diabetes Prediction Systems through Smart User Interface Design

Artificial intelligence (AI) in chronic disease prediction often exhibits algorithmic biases, hinder...

Multiple instance learning using pathology foundation models effectively predicts kidney disease diagnosis and clinical classification

Histological analysis of kidney biopsies is crucial in diagnosing kidney diseases and predicting cli...

Daily Rhythms in Blood Glucose: Time-of-Day Forecasts in Type 2 Diabetes

Accurate and interpretable forecasting of blood glucose levels is critical for effective manage- men...

Application of Machine Learning Approaches to Develop Predictive Models for Diabetes and Hypertension among Bangladesh Adults

With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs...

Empowering digital health management with on-device large language models for glucose prediction

Long-term management of chronic diseases such as diabetes is increasingly based on wearable technolo...

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