MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

A recent Scientific Reports study evaluated the performance of different machine learning models in detecting hepatitis among people with diabetes. Diabetes mellitus (DM) has been deemed to be one of ...

The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds. The most important factors ...

This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...

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 ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Automated insulin delivery can be controlled by a neural ...

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...