External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence

IMPORTANCE: With a shortfall in fellowship-trained breast radiologists, mammography screening programs are looking toward artificial intelligence (AI) to increase efficiency and diagnostic accuracy. External validation studies provide an initial assessment of how promising AI algorithms perform in d...

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Detalles Bibliográficos
Autores principales: Hsu, William, Hippe, Daniel S., Nakhaei, Noor, Wang, Pin-Chieh, Zhu, Bing, Siu, Nathan, Ahsen, Mehmet Eren, Lotter, William, Sorensen, A. Gregory, Naeim, Arash, Buist, Diana S. M., Schaffter, Thomas, Guinney, Justin, Elmore, Joann G., Lee, Christoph I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679879/
https://www.ncbi.nlm.nih.gov/pubmed/36409497
http://dx.doi.org/10.1001/jamanetworkopen.2022.42343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679879/
https://www.ncbi.nlm.nih.gov/pubmed/36409497
http://dx.doi.org/10.1001/jamanetworkopen.2022.42343

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