Zhou Yaojie, Xu Xiuyuan, Song Lujia, Wang Chengdi, Guo Jixiang, Yi Zhang, Li Weimin
Department of Respiratory and Critical Care Medicine, West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, China.
Precis Clin Med. 2020 Aug 24;3(3):214-227. doi: 10.1093/pcmedi/pbaa028. eCollection 2020 Sep.
Lung cancer is one of the most leading causes of death throughout the world, and there is an urgent requirement for the precision medical management of it. Artificial intelligence (AI) consisting of numerous advanced techniques has been widely applied in the field of medical care. Meanwhile, radiomics based on traditional machine learning also does a great job in mining information through medical images. With the integration of AI and radiomics, great progress has been made in the early diagnosis, specific characterization, and prognosis of lung cancer, which has aroused attention all over the world. In this study, we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer.
肺癌是全球主要的致死原因之一，对其进行精准医疗管理的需求迫切。由众多先进技术组成的人工智能已在医疗领域得到广泛应用。同时，基于传统机器学习的放射组学在通过医学图像挖掘信息方面也发挥着重要作用。随着人工智能与放射组学的融合，肺癌的早期诊断、特征特异性分析及预后评估均取得了巨大进展，这引起了全球的关注。在本研究中，我们简要综述了人工智能和放射组学在肺癌精准医疗管理中的当前应用。
