中国防痨杂志2024，Vol.46Issue(9)：1098-1103,6.DOI:10.19982/j.issn.1000-6621.20240123
人工智能在肺结核影像诊断及耐药性预测中的研究进展
Research progress of artificial intelligence in pulmonary tuberculosis imaging diagnosis and drug resistance prediction
摘要
Abstract
Tuberculosis(TB)is the leading cause of death from a single infectious disease worldwide.Early diagnosis of pulmonary tuberculosis(PTB)and identification of drug resistant tuberculosis are of great significance,but non-invasive and precise diagnosis and treatment are still limited.With the development of medical mega data,artificial intelligence(AI)has been gradually applied to PTB research.Al mining high flux characteristics from image,to provide the possibility of non-invasive and reproducible evaluation of lesions.In this paper,the research progress of AI technology in PTB image diagnosis and differential diagnosis,disease monitoring and drug resistance prediction in recent years is reviewed,with a view to promoting the clinical translation of Al diagnosis and drug resistance prediction technology for PTB,and providing support for the realization of precision medicine.关键词
结核,肺/体层摄影术,X线计算机/人工智能,诊断/模型,统计学/综述文献(主题)Key words
Tuberculosis,pulmonary/Tomography,X-ray computed/Artificial intelligence-assisted diagnosis/Models,statistical/Review literature as topic分类
医药卫生引用本文复制引用
李汶翰,杨静,李春华..人工智能在肺结核影像诊断及耐药性预测中的研究进展[J].中国防痨杂志,2024,46(9):1098-1103,6.基金项目
Chongqing Medical Scientific Research Project(2023DBXM005 （）
2022MSXM142) 重庆市科卫联合医学科研项目(2023DBXM005 （）
2022MSXM142) （）
