| Literature DB >> 33639520 |
Petros Kalendralis1, Matthijs Sloep2, Johan van Soest2, Andre Dekker2, Rianne Fijten2.
Abstract
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.Keywords: Artificial intelligence; FAIR data; Radiotherapy
Mesh:
Year: 2021 PMID: 33639520 DOI: 10.1016/j.ejmp.2021.01.083
Source DB: PubMed Journal: Phys Med ISSN: 1120-1797 Impact factor: 2.685