文献类型：期刊文献

中文题名：Diagnostic value of artificial intelligence in early-stage lung cancer

作者：Lin Zhao[1];Chun-Xue Bai[2];Yu Zhu[3]

机构：[1]Department of Pulmonary and Critical Care Medicine,Affiliated Rizhao People's Hospital,Jining Medical University,Rizhao,Shandong 276800,China;[2]Department of Pulmonary Medicine,Zhongshan Hospital,Fudan University,Shanghai 200032,China;[3]School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China

年份：2020

期号：4

起止页码：503

中文期刊名：Chinese Medical Journal

外文期刊名：中华医学杂志（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2019_2020】；PubMed;

基金：This work was supported by grants from Shandong Medical and Health Science and Technology Development Plan Project(No.2017WS717);Project for Young Teachers of Jining Medical University(No.JY2016KJ053Y).

语种：英文

中文关键词：lung;diagnosis;cancer

摘要：To the Editor:Lung cancer has the highest morbidity and mortality rate among malignancies in the world.The key to improve the 5-year survival rate is early diagnosis and treatment.Artificial intelligence(AI)based on deep learning has the ability of efficient self-optimization,which improves not only the recognition ability of pulmonary nodules,but also help improving the diagnostic efficiency of early-stage lung cancer.