Identifying urethral strictures using machine learning: a proof-of-concept evaluation of convolutional neural network model.

It is feasible to use a machine learning algorithm to accurately differentiate between a stricture and normal RUG. Further development of the model with additional RUGs may allow characterization of stricture location and length to suggest optimal operative approach for repair.