Endocrinology

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

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Molecular Association Assay Systems for Imaging Protein-Protein Interactions in Mammalian Cells.

Molecular imaging probes play a pivotal role in assaying molecular events in various physiological s...

The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study.

BACKGROUND: People living with chronic diseases are increasingly seeking health information online. ...

Digital Diabetes Management Technologies for Type 2 Diabetes: A Systematic Review of Home-Based Care Interventions.

Digital diabetes management technologies (DDMTs) have emerged as promising tools for improving glyce...

Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization.

BACKGROUND: Epstein-Barr virus (EBV) is a ubiquitous herpesvirus that is known to cause infectious m...

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy.

Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...

LC-MS/MS-Based Assay for Steroid Profiling in Peripheral and Adrenal Venous Samples for the Subtyping of Primary Aldosteronism.

Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS...

Impact of Tagatose on Physicochemical, Nutritional, and In Vitro Digestive Properties of Toast Bread.

It is more attractive to develop effective strategies to reduce sugar intake without compromising fo...

Real-Time AI-Assisted Insulin Titration System for Glucose Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial.

IMPORTANCE: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insuli...

Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review.

BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterise...

The Development and Potential Applications of an Automated Method for Detecting and Classifying Continuous Glucose Monitoring Patterns.

INTRODUCTION: Continuous glucose monitoring (CGM) is emerging as a transformative tool for helping p...

Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications.

Ten percent of adults in the United States have a diagnosis of diabetes and up to a third of these i...

Classifying Type 2 Diabetes Using N-Glycan Profiling and Machine Learning Algorithms.

BACKGROUND: Type 2 diabetes (T2D) continues to present a global public health challenge due to its i...

Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.

CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabet...

[Current applications and challenges of artificial intelligence in diabetes management].

In recent years, the rapid development of artificial intelligence (AI) has brought innovative opport...

Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health.

Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...

Relationships Between Retinal Vascular Characteristics and Systemic Indicators in Patients With Diabetes Mellitus.

PURPOSE: To develop a deep learning method for vessel segmentation in fundus images, measure retinal...

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