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  • 高云姝,周洁,潘军,于观贞,梁军.人工智能技术在肺部肿瘤中的研究现状和应用前景[J].第二军医大学学报,2018,39(8):834-839    [点击复制]
  • GAO Yun-shu,ZHOU Jie,PAN Jun,YU Guan-zhen,LIANG Jun.Research status and application prospect of artificial intelligence technology in lung tumors[J].Acad J Sec Mil Med Univ,2018,39(8):834-839   [点击复制]
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人工智能技术在肺部肿瘤中的研究现状和应用前景
高云姝1△,周洁2△,潘军3,于观贞4,梁军5*
0
(1. 解放军总医院肿瘤内科, 北京 100853;
2. 同济大学附属东方医院医学影像科, 上海 200120;
3. 解放军81医院全军肿瘤中心肿瘤内科, 南京 210002;
4. 上海中医药大学附属龙华医院肿瘤七科, 上海 200032;
5. 北京大学国际医院, 北京 102206
共同第一作者
*通信作者)
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。
关键词:  人工智能  肺肿瘤  肺结节  预后
DOI:10.16781/j.0258-879x.2018.08.0834
投稿时间:2018-06-21修订日期:2018-07-17
基金项目:
Research status and application prospect of artificial intelligence technology in lung tumors
GAO Yun-shu1△,ZHOU Jie2△,PAN Jun3,YU Guan-zhen4,LIANG Jun5*
(1. Department of Oncology, General Hospital of PLA, Beijing 100853, China;
2. Department of Medical Imaging, East Hospital, Tongji University, Shanghai 200120, China;
3. Department of Medical Oncology, Cancer Center of PLA, No. 81 Hospital of PLA, Nanjing 210002, Jiangsu, China;
4. Department of Oncology(Ⅶ), Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China;
5. Peking University International Hospital, Beijing 102206, China
Co-first authors.
* Corresponding author)
Abstract:
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.
Key words:  artificial intelligence  lung neoplasms  pulmonary nodule  prognosis