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...

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Detalles Bibliográficos
Autores principales: Arzamasov, Kirill, Vasilev, Yuriy, Vladzymyrskyy, Anton, Omelyanskaya, Olga, Shulkin, Igor, Kozikhina, Darya, Goncharova, Inna, Gelezhe, Pavel, Kirpichev, Yury, Bobrovskaya, Tatiana, Andreychenko, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298418/
https://www.ncbi.nlm.nih.gov/pubmed/37372802
http://dx.doi.org/10.3390/healthcare11121684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298418/
https://www.ncbi.nlm.nih.gov/pubmed/37372802
http://dx.doi.org/10.3390/healthcare11121684

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