Augmenting Quality Assurance Measures in Treatment Review with Machine Learning in Radiation Oncology

PURPOSE: Pretreatment quality assurance (QA) of treatment plans often requires a high cognitive workload and considerable time expenditure. This study explores the use of machine learning to classify pretreatment chart check QA for a given radiation plan as difficult or less difficult, thereby alert...

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Detalles Bibliográficos
Autores principales: Pillai, Malvika, Shumway, John W., Adapa, Karthik, Dooley, John, McGurk, Ross, Mazur, Lukasz M., Das, Shiva K., Chera, Bhishamjit S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Scientific Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185740/
https://www.ncbi.nlm.nih.gov/pubmed/37205277
http://dx.doi.org/10.1016/j.adro.2023.101234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185740/
https://www.ncbi.nlm.nih.gov/pubmed/37205277
http://dx.doi.org/10.1016/j.adro.2023.101234

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