A new MRI-based predictive model may help identify patients with diabetes who are at higher risk of adverse cardiovascular events, according to a study published in Radiology. The model demonstrated good predictive accuracy and outperformed established cardiovascular risk models, suggesting that cardiac MRI could enhance risk stratification and support more personalized prevention and management strategies in people with diabetes. Patients with diabetes mellitus (DM) are at increased risk of adverse cardiovascular outcomes. A study was done to develop a cardiac MRI-based predictive model for cardiovascular outcomes among participants with type 2 DM and evaluate the model in comparison with established clinical risk models. The MRI-based risk model demonstrated good discrimination (C index, 0.73) and acceptable calibration.