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Artificial Intelligence in Medicine and Radiation Oncology.
Weidlich, Vincent; Weidlich, Georg A.
Afiliación
  • Weidlich V; Kingston Business School, Kingston University.
  • Weidlich GA; Radiation Oncology, National Medical Physics and Dosimetry Comp., Inc.
Cureus ; 10(4): e2475, 2018 Apr 13.
Article en En | MEDLINE | ID: mdl-29904616
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Cureus Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Cureus Año: 2018 Tipo del documento: Article