Purpose: This study aimed to predict the composition of urolithiasis using deep learning from urinary stone images. Materials and Methods: We classified 1. 332 stones into 31 classes according to the stone composition. The top 4 classes with a frequency of 110 or more (class 1: calcium oxalate monohydrate [COM] 100%. https://www.roneverhart.com/Slate-Digital-VCC-Virtual-Console-Collection-p32717/