Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands.
Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, 6229 ET Maastricht, The Netherlands.
Phys Med. 2021 Feb;82:158-162. doi: 10.1016/j.ejmp.2021.01.083. Epub 2021 Feb 24.
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.
鉴于人工智能 (AI) 在放射治疗中的应用迅速增长,以及相关的向数据驱动的医疗保健领域的转变,本文总结了在放射治疗中 FAIR(可发现、可访问、可互操作、可重用)数据原则的必要性和使用。本工作介绍了 FAIR 数据概念,提出了实际和相关的用例以及不同利益相关者的未来作用。本文的目标是为各个放射治疗利益相关者提供 FAIR 的指导和潜在应用,重点是医学物理学家的核心作用。