Study Finds Artificial Intelligence May Improve Diabetes Diagnosis - AI Summary

Bethesda (Maryland) [US], April 16 (ANI): A new study has found that a fully-automated artificial intelligence (AI) deep learning model can identify early signs of type 2 diabetes on abdominal CT scans. For this retrospective study, Dr Summers and colleagues, in close collaboration with co-senior author Perry J. Pickhardt, M.D., professor of radiology at the University of Wisconsin School of Medicine & Public Health, used a dataset of patients who had undergone routine colorectal cancer screening with CT at the University of Wisconsin Hospital and Clinics. The deep learning model displayed excellent results, demonstrating virtually no difference compared to manual analysis. In addition to the various pancreatic features, the model also analyzed the visceral fat, density and volumes of the surrounding abdominal muscles and organs. The best predictor's type 2 diabetes in the final model included intrapancreatic fat percentage, pancreas fractal dimension, plaque severity between the L1-L4 vertebra level, average liver CT attenuation, and BMI.