Development and evaluation of deep-learning measurement of leg length discrepancy: bilateral iliac crest height difference measurement.

A deep-learning U-Net model measuring the iliac crest height difference was possible on teleroentgenograms in children. LLD measurements assisted by the deep-learning algorithm saved time and labor while producing comparable results with human measurements.