Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional study

PURPOSE: Artificial intelligence applications in radiation oncology have been the focus of study in the last decade. The introduction of automated and intelligent solutions for routine clinical tasks, such as treatment planning and quality assurance, has the potential to increase safety and efficien...

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Detalles Bibliográficos
Autores principales: Kalendralis, Petros, Luk, Samuel M. H., Canters, Richard, Eyssen, Denis, Vaniqui, Ana, Wolfs, Cecile, Murrer, Lars, van Elmpt, Wouter, Kalet, Alan M., Dekker, Andre, van Soest, Johan, Fijten, Rianne, Zegers, Catharina M. L., Bermejo, Inigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012863/
https://www.ncbi.nlm.nih.gov/pubmed/36925935
http://dx.doi.org/10.3389/fonc.2023.1099994

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012863/
https://www.ncbi.nlm.nih.gov/pubmed/36925935
http://dx.doi.org/10.3389/fonc.2023.1099994

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