Accurate x-ray diagnosis of the degree of flat feet is not an easy task for the radiologist, because it requires a lot of time for measurements and work experience. In order to create a program for analyzing foot X-ray patterns based on artificial intelligence, machine learning was conducted on 5184 anonymous digital foot radiographs performed in a lateral projection with a load. Testing the program showed high accuracy and speed of diagnosis, with a recommendation for its use in practice.