Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms

BACKGROUND: Double reading (DR) in screening mammography increases cancer detection and lowers recall rates, but has sustainability challenges due to workforce shortages. Artificial intelligence (AI) as an independent reader (IR) in DR may provide a cost-effective solution with the potential to impr...

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Detalles Bibliográficos
Autores principales: Sharma, Nisha, Ng, Annie Y., James, Jonathan J., Khara, Galvin, Ambrózay, Éva, Austin, Christopher C., Forrai, Gábor, Fox, Georgia, Glocker, Ben, Heindl, Andreas, Karpati, Edit, Rijken, Tobias M., Venkataraman, Vignesh, Yearsley, Joseph E., Kecskemethy, Peter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197505/
https://www.ncbi.nlm.nih.gov/pubmed/37208717
http://dx.doi.org/10.1186/s12885-023-10890-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197505/
https://www.ncbi.nlm.nih.gov/pubmed/37208717
http://dx.doi.org/10.1186/s12885-023-10890-7

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