摘要
肺癌是发病率和死亡率最高的恶性肿瘤,严重威胁人类健康,因此提高肺癌的诊疗效率至关重要。人工智能技术为肺癌的诊治带来了新思路,目前大量研究集中于肺部肿瘤的早期筛查、诊断、治疗和病程管理,以及研发基于深度学习的计算机辅助诊断系统,并取得了显著效果。本文系统阐述了人工智能技术在肺部肿瘤早期筛查、病理诊断、预后评估、手术导航和免疫治疗等方面的研究进展,相信人工智能技术必将为肺癌的诊治带来新的机遇,并将有助于提高肺癌患者的总生存率和生活质量。
Lung cancer is a malignant tumor with the highest morbidity and mortality,which seriously threatens human health.It is important to improve the diagnosis and treatment efficiency of patients with lung cancer.Artificial intelligence technology provides novel promising strategies for the diagnosis and treatment of patients with lung cancer.Numerous studies have focused on the early screening,diagnosis,treatment and health management of lung tumor,and the development of computer-aided diagnosis system based on deep learning technology,and achieved remarkable results.In this paper,we systematically reviewed the progress of artificial intelligence technology in early screening based medical imaging,pathological diagnosis,prognostic evaluation,surgical navigation and immunotherapy of lung tumors.It is believed that artificial intelligence technology will bring new opportunities for the diagnosis and treatment of lung cancer,and improve the overall survival and quality of life of patients with lung cancer.
作者
高云姝
周洁
潘军
于观贞
梁军
GAO Yun-shu;ZHOU Jie;PAN Jun;YU Guan-zhen;LIANG Jun(Department of Oncology,General Hospital of PLA,Beijing 100853,China;Department of Medical Imaging,East Hospital,Tongji University,Shanghai 200120,China;Department of Medical Oncology,Cancer Center of PLA,No.81 Hospital of PLA,Nanjing 210002,Jiangsu,China;Department of Oncology(Ⅶ),Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 200032,China;Peking University International Hospital,Beijing 102206,China;;;;;)
出处
《第二军医大学学报》
CAS
CSCD
北大核心
2018年第8期834-839,共6页
Academic Journal of Second Military Medical University
关键词
人工智能
肺肿瘤
肺结节
预后
artificial intelligence
lung neoplasms
pulmonary nodule
prognosis