The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

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, ...
Becker's Hospital Review

Children’s Mercy, Joslin Diabetes Center to use machine learning for diabetes management

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. Cyft ...
Morningstar

Novel Artificial Intelligence Models Detect Type 1 Diabetes Risk Before Clinical Onset

CHICAGO, June 20, 2025 /PRNewswire/ -- Developments from two studies highlighting the potential for machine learning leveraging artificial intelligence (AI) technology to improve early-stage ...

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Devdiscourse

AI could close Africa’s deadly diagnosis gap for diabetes and sickle cell disease if deployed equitably

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.