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

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

PurposeArtificial 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 efficiency...

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Bibliographic Details
Main Authors: Petros Kalendralis, Samuel M. H. Luk, Richard Canters, Denis Eyssen, Ana Vaniqui, Cecile Wolfs, Lars Murrer, Wouter van Elmpt, Alan M. Kalet, Andre Dekker, Johan van Soest, Rianne Fijten, Catharina M. L. Zegers, Inigo Bermejo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Oncology
Subjects:
radiotherapy
AI
Bayesian network
plan review
quality assurance
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1099994/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1099994/full

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