Artificial Intelligence in Medicine and Radiation Oncology

Artifical Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors...

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Detalles Bibliográficos
Autores principales: Weidlich, Vincent, Weidlich, Georg A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2018
Materias:
Radiation Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999390/
https://www.ncbi.nlm.nih.gov/pubmed/29904616
http://dx.doi.org/10.7759/cureus.2475
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author Weidlich, Vincent
Weidlich, Georg A.
author_facet Weidlich, Vincent
Weidlich, Georg A.
author_sort Weidlich, Vincent
collection PubMed
description Artifical Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors is most effective when data transfer processes were automated and operational decisions were based on logical or learned evaluations by the system. It was concluded that AI could greatly improve the efficiency and accuracy of radiation oncology operations.
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spelling pubmed-59993902018-06-14 Artificial Intelligence in Medicine and Radiation Oncology Weidlich, Vincent Weidlich, Georg A. Cureus Radiation Oncology Artifical Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors is most effective when data transfer processes were automated and operational decisions were based on logical or learned evaluations by the system. It was concluded that AI could greatly improve the efficiency and accuracy of radiation oncology operations. Cureus 2018-04-13 /pmc/articles/PMC5999390/ /pubmed/29904616 http://dx.doi.org/10.7759/cureus.2475 Text en Copyright © 2018, Weidlich et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Radiation Oncology
Weidlich, Vincent
Weidlich, Georg A.
Artificial Intelligence in Medicine and Radiation Oncology
title Artificial Intelligence in Medicine and Radiation Oncology
title_full Artificial Intelligence in Medicine and Radiation Oncology
title_fullStr Artificial Intelligence in Medicine and Radiation Oncology
title_full_unstemmed Artificial Intelligence in Medicine and Radiation Oncology
title_short Artificial Intelligence in Medicine and Radiation Oncology
title_sort artificial intelligence in medicine and radiation oncology
topic Radiation Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999390/
https://www.ncbi.nlm.nih.gov/pubmed/29904616
http://dx.doi.org/10.7759/cureus.2475
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