A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
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, ...
What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...
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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
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 ...
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