人工智能用于辐射瘤学反应预测和个性化
Alex Zwanenburg1,2,3, Gareth Price4,5, Steffen Löck6,7
1OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Fetscherstr. 74, PF 41, 01307, Dresden, Germany. alexander.zwanenburg@nct-dresden.de.
人工智能 (AI) 可以通过分析患者数据来预测治疗反应来个性化放射治疗. 本综述概述了三代人工智能用于改进放射治疗个性化,解决临床翻译挑战.
科学领域:
- 在瘤学瘤学.
- 医学物理 医学物理
- 放射疗法是一种放射治疗.
背景情况:
- 辐射疗法个性化对于优化治疗疗效和尽量减少副作用至关重要.
- 人工智能 (AI) 提供了分析放射治疗中复杂患者数据的先进功能.
研究的目的:
- 描述三代用于放射治疗个性化的AI系统.
- 讨论AI用于放射治疗的临床转化中的挑战.
主要方法:
- 对用于放射治疗个性化的人工智能系统的审查.
- 将人工智能系统分为基于预处理数据的,响应驱动的和动态优化的方法.
主要成果:
- 人工智能系统可以通过数据评估和响应预测来个性化放射治疗.
- 在放射治疗中发现了三代不同的AI:基于预治疗,响应驱动和动态优化.
结论:
- 人工智能具有很大的潜力,可以通过预测治疗结果来个性化放射治疗.
- 人工智能在放射治疗中的临床转化面临着需要进一步研究的挑战.
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