Historically, applying #computervision to colonoscopies has been a struggle. But now, thanks to a new "ground truth" dataset from Associate Professor Nicholas Durr and team, researchers around the world are training and testing AI to estimate colon geometry and improve screening. Key to the development of the "C3VD" dataset was a 3D, silicon colon model, created by experts at Hopkins Medicine's Department of Art as Applied to Medicine. Read: https://engineering.jhu.edu/news/ground-truth-colonosc