Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level

PURPOSE: This study evaluated how artificial intelligence-based computer-assisted diagnosis (AI-CAD) for breast ultrasonography (US) influences diagnostic performance and agreement between radiologists with varying experience levels in different workflows. METHODS: Images of 492 breast lesions (200...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Si Eun, Han, Kyunghwa, Youk, Ji Hyun, Lee, Jee Eun, Hwang, Ji-Young, Rho, Miribi, Yoon, Jiyoung, Kim, Eun-Kyung, Yoon, Jung Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Ultrasound in Medicine 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532201/
https://www.ncbi.nlm.nih.gov/pubmed/35850498
http://dx.doi.org/10.14366/usg.22014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532201/
https://www.ncbi.nlm.nih.gov/pubmed/35850498
http://dx.doi.org/10.14366/usg.22014

Ejemplares similares