Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

BACKGROUND: Artificial intelligence (AI) and deep learning have shown great potential in streamlining clinical tasks. However, most studies remain confined to in silico validation in small internal cohorts, without external validation or data on real-world clinical utility. We developed a strategy f...

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Detalles Bibliográficos
Autores principales: Hosny, Ahmed, Bitterman, Danielle S, Guthier, Christian V, Qian, Jack M, Roberts, Hannah, Perni, Subha, Saraf, Anurag, Peng, Luke C, Pashtan, Itai, Ye, Zezhong, Kann, Benjamin H, Kozono, David E, Christiani, David, Catalano, Paul J, Aerts, Hugo J W L, Mak, Raymond H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435511/
https://www.ncbi.nlm.nih.gov/pubmed/36028289
http://dx.doi.org/10.1016/S2589-7500(22)00129-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435511/
https://www.ncbi.nlm.nih.gov/pubmed/36028289
http://dx.doi.org/10.1016/S2589-7500(22)00129-7

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