An International Non-Inferiority Study for the Benchmarking of AI for Routine Radiology Cases: Chest X-ray, Fluorography and Mammography

An International Non-Inferiority Study for the Benchmarking of AI for Routine Radiology Cases: Chest X-ray, Fluorography and Mammography

An international reader study was conducted to gauge an average diagnostic accuracy of radiologists interpreting chest X-ray images, including those from fluorography and mammography, and establish requirements for stand-alone radiological artificial intelligence (AI) models. The retrospective studi...

Full description

Bibliographic Details
Main Authors: Kirill Arzamasov, Yuriy Vasilev, Anton Vladzymyrskyy, Olga Omelyanskaya, Igor Shulkin, Darya Kozikhina, Inna Goncharova, Pavel Gelezhe, Yury Kirpichev, Tatiana Bobrovskaya, Anna Andreychenko
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Healthcare
Subjects:
stand-alone artificial intelligence
radiology
benchmarking
population screening
Online Access:https://www.mdpi.com/2227-9032/11/12/1684

Internet

https://www.mdpi.com/2227-9032/11/12/1684

Similar Items