In a recent study published in BMC Medicine, researchers identified diabetic individuals among populations with normal fasting glucose using common physical examination indexes via machine ...

The performance of different machine learning models in detecting hepatitis among people with diabetes.

Automated machine-learning models accurately identified risk for diabetic retinopathy progression using ultra-widefield retinal images, according to a study published in JAMA Ophthalmology.

The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range.

The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range.

Machine Learning for diabetes patients Alphabet’s life science subsidiary Verily announced the first real-world clinical use of its machine learning algorithm that screens for diabetes-related ...

An automated insulin delivery system controlled by an artificial intelligence machine learning model may perform just as well as a system using a traditional equation-based insulin dosing ...

Children's Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft.

Researchers from Edith Cowan University (ECU) are developing an artificial intelligence algorithm that can use bone density ...