Искусственный интеллект в помощь определению продольного плоскостопия по рентгеновским изображениям

Translated title of the contribution: ARTIFICIAL INTELLIGENCE TO HELP DETERMINE LONGITUDINAL FLATFOOT FROM XRAY IMAGES

А.Е. Лобищева, В.М. Черемисин, И.Г. Камышанская, Д.С. Блинов

Research output: Contribution to journalMeeting Abstractpeer-review

Abstract

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.
Translated title of the contributionARTIFICIAL INTELLIGENCE TO HELP DETERMINE LONGITUDINAL FLATFOOT FROM XRAY IMAGES
Original languageRussian
Pages (from-to)230-231
JournalЛучевая диагностика и терапия
Issue numberS1
StatePublished - 2020

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