人工智能驱动的放射治疗创新:提高效率和有效性
Junyi Chen1, Xinlin Zhu1, Jian-Yue Jin2
1State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, China.
Medical review (2021)
|August 21, 2025
概括
人工智能 (AI) 和放射治疗数字双胞胎 (RDTs) 正在彻底改变癌症治疗. 这些技术提高了效率和个性化护理,使辐射疗法在全球更容易获得和更有效.
科学领域:
- 瘤学和医学物理
- 医疗保健中的人工智能
- 放射治疗的优化
背景情况:
- 全球癌症发病率正在上升,
- 放射治疗是癌症治疗的基石, 但在效率和资源分配方面面临挑战.
- 需要提高RT的速度和有效性.
研究的目的:
- 展示人工智能如何提高放射治疗效率,特别是在目标划定和治疗规划方面.
- 为了提高工作流程的效率,引入"全合一"RT的概念.
- 将放射治疗数字双胞胎 (RDTs) 作为个性化治疗和疗效评估的工具.
主要方法:
- 对人工智能在RT过程中的整合进行审查和展望.
- 全集RT工作流程的概念化.
- 使用患者特异性数据和精准医学的AI探索RDTs.
主要成果:
- 人工智能显著提高了耗时的RT任务的效率,如目标划定和治疗计划.
- 全合一RT提供了一种潜在的途径,可以大大提高整体RT效率.
- 研发技术有助于个性化治疗策略和对治疗结果的可靠评估.
结论:
- 人工智能和研发技术将改变癌症放射治疗,提高效率和精度.
- 这些先进技术有望在全球范围内使科技更容易获得和更有效.
- 人工智能和数字双胞胎的整合代表了瘤护理的重大飞跃.
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