Endocrinology

Diabetes

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

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Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.

OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and pr...

An improved support vector machine-based diabetic readmission prediction.

BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a la...

High triglycerides to HDL-cholesterol ratio is associated with insulin resistance in normal-weight healthy adults.

AIM: To evaluate the association between high triglyceride/HDL-cholesterol (TG/HDL-C) ratio and insu...

An Increased Level of Aryl Hydrocarbon Receptor in Patients with Pancreatic Cancer.

BACKGROUND Aryl-carbon receptor (AhR), a ligand-activated transcription factor, is best known for it...

Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.

An estimated 425 million people globally have diabetes, accounting for 12% of the world's health exp...

The basal to total insulin ratio in outpatients with diabetes on basal-bolus regimen.

OBJECTIVE: To evaluate the basal/total ratio of daily insulin dose (b/T) in outpatients with diabete...

Current state and future prospects of artificial intelligence in ophthalmology: a review.

Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although ...

Deep learning-based quantification of abdominal fat on magnetic resonance images.

Obesity is increasingly prevalent and associated with increased risk of developing type 2 diabetes, ...

Digital diabetes: Perspectives for diabetes prevention, management and research.

Digital medicine, digital research and artificial intelligence (AI) have the power to transform the ...

Triglycerides and glucose index as an insulin resistance marker in a sample of healthy adults.

AIM: To assess the association between elevated triglycerides/glucose index (TGI) and insulin resist...

Association between vitamin D deficiency and insulin resistance markers in euthyroid non-diabetic individuals.

AIM: To evaluate the association between vitamin D deficiency and insulin resistance (IR) or hyperin...

Evaluation of Artificial Intelligence-Based Grading of Diabetic Retinopathy in Primary Care.

IMPORTANCE: There has been wide interest in using artificial intelligence (AI)-based grading of reti...

Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.

In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care...

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.

Accurate and reliable prediction of clinical progression over time has the potential to improve the ...

Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables.

BACKGROUND: The present study aims to identify the patients at risk of type 2 diabetes (T2D). There ...

Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.

Artificial Intelligence (AI) has long promised to increase healthcare affordability, quality and acc...

Small Intestinal Bacterial Overgrowth in Patients With Cirrhosis.

Small intestinal bacterial overgrowth (SIBO) is defined by increased density and/or abnormal composi...

Automated retinopathy of prematurity screening using deep neural networks.

BACKGROUND: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. ...

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