Zhu Xingyu, Chen Nan, Liu Lunxu, Pu Qiang
West China School of Medicine, Sichuan University, Chengdu 610041, China.
Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhongguo Fei Ai Za Zhi. 2019 Apr 20;22(4):245-249. doi: 10.3779/j.issn.1009-3419.2019.04.08.
Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment methods. The development of precision medicine has brought new opportunities for the improvement of diagnosis and treatment of lung cancer. However, various kinds of information required by precision medicine (such as biometrics, clinical test indicators and non-biological environmental background information) are difficult for clinicians to integrate and utilize effectively. With the development of computer technology, artificial neural networks (ANNs), which has the characteristic of high fault tolerance, intelligence and self-learning ability. Its powerful information integration ability can solve many problems in the development and application of precision medicine, which can play a key role in basic research and clinical practice associated with lung cancer. This article reviewed the application of artificial neural network in the field of lung cancer. .
肺癌是全球最常见且致命的肿瘤，其诊断和治疗方法有限。精准医学的发展为肺癌诊疗的改善带来了新机遇。然而，精准医学所需的各类信息（如生物特征、临床检验指标及非生物环境背景信息），临床医生难以有效整合和利用。随着计算机技术的发展，具有高容错性、智能和自学习能力的人工神经网络应运而生。其强大的信息整合能力可解决精准医学发展与应用中的诸多问题，在肺癌相关基础研究和临床实践中发挥关键作用。本文综述了人工神经网络在肺癌领域的应用。
