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人工智能技术在亚实性肺结节评估中的应用与研究进展

李菲 白臻 刘金龙 苏丹阳 杨慎宇 马渊博 李亚蔓 杜煜钫 杨晓鹏

解放军医学杂志2025,Vol.50Issue(10):1243-1249,7.
解放军医学杂志2025,Vol.50Issue(10):1243-1249,7.DOI:10.11855/j.issn.0577-7402.2053.2025.0829

人工智能技术在亚实性肺结节评估中的应用与研究进展

Application and research progress of artificial intelligence in the assessment of subsolid nodules

李菲 1白臻 2刘金龙 1苏丹阳 1杨慎宇 2马渊博 1李亚蔓 1杜煜钫 1杨晓鹏2

作者信息

  • 1. 郑州大学第一附属医院放射科,河南 郑州 450002
  • 2. 郑州大学第一附属医院医学装备部,河南 郑州 450002
  • 折叠

摘要

Abstract

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

关键词

人工智能/肺结节/亚实性肺结节

Key words

artificial intelligence/pulmonary nodules/subsolid nodules

分类

临床医学

引用本文复制引用

李菲,白臻,刘金龙,苏丹阳,杨慎宇,马渊博,李亚蔓,杜煜钫,杨晓鹏..人工智能技术在亚实性肺结节评估中的应用与研究进展[J].解放军医学杂志,2025,50(10):1243-1249,7.

基金项目

This work was supported by the Henan Provincial Medical Education Research Project(WJLX2023054),and the National Postdoctoral Research Fund Project(GZC20241549)河南省医学教育研究项目(WJLX2023054) (WJLX2023054)

国家资助博士后研究人员计划(GZC20241549) (GZC20241549)

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