Division of Biotherapy, Cancer Center, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China.
Head & Neck Oncology ward, Division of Radiotherapy Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37 GuoXue Alley, Chengdu 610041, China.
Semin Cancer Biol. 2022 Nov;86(Pt 2):160-171. doi: 10.1016/j.semcancer.2022.08.005. Epub 2022 Aug 20.
Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence (AI) has developed rapidly over the past few years. With the explosive growth of medical big data, AI promises to revolutionize the field of radiotherapy through highly automated workflow, enhanced quality assurance, improved regional balances of expert experiences, and individualized treatment guided by multi-omics. In addition to independent researchers, the increasing number of large databases, biobanks, and open challenges significantly facilitated AI studies on radiation oncology. This article reviews the latest research, clinical applications, and challenges of AI in each part of radiotherapy including image processing, contouring, planning, quality assurance, motion management, and outcome prediction. By summarizing cutting-edge findings and challenges, we aim to inspire researchers to explore more future possibilities and accelerate the arrival of AI radiotherapy.
放射治疗是一门与计算机科学紧密结合的学科。人工智能(AI)在过去几年中发展迅速。随着医学大数据的爆炸式增长,人工智能有望通过高度自动化的工作流程、增强的质量保证、专家经验的区域平衡的提高以及基于多组学的个体化治疗来彻底改变放射治疗领域。除了独立的研究人员外,越来越多的大型数据库、生物库和开放挑战极大地促进了放射肿瘤学的 AI 研究。本文综述了 AI 在放射治疗各个领域的最新研究、临床应用和挑战,包括图像处理、勾画、计划、质量保证、运动管理和结果预测。通过总结最新的发现和挑战,我们旨在激发研究人员探索更多未来的可能性,并加速 AI 放射治疗的到来。