Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
J Neurooncol. 2023 Feb;161(3):441-450. doi: 10.1007/s11060-022-04234-x. Epub 2023 Jan 13.
Rapid evolution of artificial intelligence (AI) prompted its wide application in healthcare systems. Stereotactic radiosurgery served as a good candidate for AI model development and achieved encouraging result in recent years. This article aimed at demonstrating current AI application in radiosurgery.
Literatures published in PubMed during 2010-2022, discussing AI application in stereotactic radiosurgery were reviewed.
AI algorithms, especially machine learning/deep learning models, have been administered to different aspect of stereotactic radiosurgery. Spontaneous tumor detection and automated lesion delineation or segmentation were two of the promising application, which could be further extended to longitudinal treatment follow-up. Outcome prediction utilized machine learning algorithms with radiomic-based analysis was another well-established application.
Stereotactic radiosurgery has taken a lead role in AI development. Current achievement, limitation, and further investigation was summarized in this article.
人工智能（AI）的快速发展促使其在医疗保健系统中得到广泛应用。立体定向放射外科是开发 AI 模型的良好候选，近年来取得了令人鼓舞的成果。本文旨在展示 AI 在放射外科中的应用现状。
回顾了 2010 年至 2022 年期间在 PubMed 上发表的讨论 AI 在立体定向放射外科中应用的文献。
AI 算法，特别是机器学习/深度学习模型，已应用于立体定向放射外科的不同方面。自动肿瘤检测和自动病变勾画或分割是很有前途的应用之一，这可以进一步扩展到纵向治疗随访。利用放射组学分析的机器学习算法进行的结果预测是另一个成熟的应用。
立体定向放射外科在 AI 开发中处于领先地位。本文总结了当前的成果、局限性和进一步的研究方向。
