Computational Modeling and AI in Radiation Neuro-Oncology and Radiosurgery

Cheng Chia Lee, Huai Che Yang, Hsiu Mei Wu, Yen Yu Lin, Chia Feng Lu, Syu Jyun Peng, Yu Te Wu, Jason P. Sheehan, Wan Yuo Guo

研究成果: 書貢獻/報告類型章節

摘要

The chapter explores the extensive integration of artificial intelligence (AI) in healthcare systems, with a specific focus on its application in stereotactic radiosurgery. The rapid evolution of AI technology has led to promising developments in this field, particularly through the utilization of machine learning and deep learning models. The diverse implementation of AI algorithms was developed from various aspects of radiosurgery, including the successful detection of spontaneous tumors and the automated delineation or segmentation of lesions. These applications show potential for extension to longitudinal treatment follow-up. Additionally, the chapter highlights the established use of machine learning algorithms, particularly those incorporating radiomic-based analysis, in predicting treatment outcomes. The discussion encompasses current achievements, existing limitations, and the need for further investigation in the dynamic intersection of AI and radiosurgery.
原文英語
主出版物標題Advances in Experimental Medicine and Biology
發行者Springer
頁面307-322
頁數16
DOIs
出版狀態已發佈 - 2024

出版系列

名字Advances in Experimental Medicine and Biology
1462
ISSN(列印)0065-2598
ISSN(電子)2214-8019

ASJC Scopus subject areas

  • 一般生物化學,遺傳學和分子生物學

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