AI detects diabetes on abdominal CT performed for CTC screening


Researchers from the University of Wisconsin School of Medicine and Public Health in Madison, WI, and the U.S. National Institutes of Health (NIH) Clinical Center in Bethesda, MD, developed an automated pancreatic segmentation method for noncontrast CT images. They then tested the algorithm retrospectively on 9,000 consecutive patients who had undergone CTC screening.


They found that the five most important CT biomarkers extracted using the deep learning-based segmentation model yielded an area under the curve (AUC) of 0.81 on a subset of patients with CT exams performed zero to 2,550…



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