Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study

OBJECTIVE: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms. MATERIALS AND METHODS: A commercial deep learning-based software for mammography was validated using external dat...

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Detalles Bibliográficos
Autores principales: Lee, Jeong Hoon, Kim, Ki Hwan, Lee, Eun Hye, Ahn, Jong Seok, Ryu, Jung Kyu, Park, Young Mi, Shin, Gi Won, Kim, Young Joong, Choi, Hye Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Breast Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081685/
https://www.ncbi.nlm.nih.gov/pubmed/35434976
http://dx.doi.org/10.3348/kjr.2021.0476

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081685/
https://www.ncbi.nlm.nih.gov/pubmed/35434976
http://dx.doi.org/10.3348/kjr.2021.0476

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