人工智能在放射治疗临床实践中的作用。

BJR open Pub Date : 2023-10-18 eCollection Date: 2023-01-01 DOI:10.1259/bjro.20230030
Guillaume Landry, Christopher Kurz, Alberto Traverso
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引用次数: 0

摘要

本文综述了人工智能在放射治疗临床实践中的现状。我们将讨论人工智能如何在自动分割和规划层面的现代放射治疗工作流程中占有一席之地,这两个应用程序已经实现了实际工作。将特别强调人工智能在在线自适应放射治疗中可以发挥的作用,例如在MR直线加速器中进行的放射治疗,在线计划自适应是一种可以从自动化中受益的程序,可以减少患者在沙发上的时间。伪CT生成和用于运动跟踪的AI也将被引入在线自适应放射治疗的范围。我们进一步讨论了人工智能在决策和反应评估中的应用,例如用于个性化处方和治疗选择、结果和毒性的风险分层,以及人工智能用于定量成像和反应评估。最后,将讨论可推广性和伦理方面的挑战。据此,我们对人工智能在放射治疗中的当前和未来应用进行了全面概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The role of artificial intelligence in radiotherapy clinical practice.

The role of artificial intelligence in radiotherapy clinical practice.

This review article visits the current state of artificial intelligence (AI) in radiotherapy clinical practice. We will discuss how AI has a place in the modern radiotherapy workflow at the level of automatic segmentation and planning, two applications which have seen real-work implementation. A special emphasis will be placed on the role AI can play in online adaptive radiotherapy, such as performed at MR-linacs, where online plan adaptation is a procedure which could benefit from automation to reduce on-couch time for patients. Pseudo-CT generation and AI for motion tracking will be introduced in the scope of online adaptive radiotherapy as well. We further discuss the use of AI for decision-making and response assessment, for example for personalized prescription and treatment selection, risk stratification for outcomes and toxicities, and AI for quantitative imaging and response assessment. Finally, the challenges of generalizability and ethical aspects will be covered. With this, we provide a comprehensive overview of the current and future applications of AI in radiotherapy.

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