Making radiotherapy more efficient with FAIR data

P. Kalendralis*, M. Sloep, J. van Soest, A. Dekker, R. Fijten

*Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review


Given the rapid growth of artificial intelligence (AI) applications in radiotherapy and the related transformations toward the data-driven healthcare domain, this article summarizes the need and usage of the FAIR (Findable, Accessible, Interoperable, Reusable) data principles in radiotherapy. This work introduces the FAIR data concept, presents practical and relevant use cases and the future role of the different parties involved. The goal of this article is to provide guidance and potential applications of FAIR to various radiotherapy stakeholders, focusing on the central role of medical physicists.
Original languageEnglish
Pages (from-to)158-162
Number of pages5
JournalPhysica Medica: European journal of medical physics
Publication statusPublished - 1 Feb 2021


  • Radiotherapy
  • FAIR data
  • Artificial intelligence


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