Application of artificial intelligence in diagnosis of pulmonary tuberculosis  

作　　者：Jingli Du Yue Su Juan Qiao Shang Gao Enjun Dong Ruilan Wang Yanhui Nie Jing Ji Zhendong Wang Jianqin Liang Wenping Gong 

机构地区：[1]Tuberculosis Control Team,Senior Department of Tuberculosis,The Eighth Medical Center of PLA General Hospital,Beijing 100091,China [2]Department of Computer Science and Technology,College of Management Science and Engineering,Capital University of Economics and Business,Beijing 100071,China [3]The Second Ward of Tuberculosis Department,Senior Department of Tuberculosis,The Eighth Medical Center of PLA General Hospital,Beijing 100091,China [4]Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment,Senior Department of Tuberculosis,The Eighth Medical Center of PLA General Hospital,Beijing 100091,China

出　　处：《Chinese Medical Journal》2024年第5期559-561,共3页中华医学杂志（英文版）

基　　金：supported by the Special Research on Health and Epidemic Prevention(No.22FYFH13).

摘　　要：Tuberculosis(TB)is an infectious disease caused by Mycobacterium tuberculosis.Although the diagnostic technology of pulmonary tuberculosis(PTB)has advanced,accurate and differential diagnoses of PTB are still challenging.In recent years,the rapid development of artificial intelligence(AI)and its wide application in the medical field have provided new opportunities for diagnosing and treating TB and PTB.The machine learning model of AI has not only helped physicians improve diagnostic accuracy,but also enabled them to make early preventive diagnoses for individuals at increased risk of infection.Furthermore,AI can guide physicians to formulate targeted treatment strategies for PTB patients with different conditions.

关 键 词：TUBERCULOSIS DIAGNOSIS artificial 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R521[自动化与计算机技术—控制科学与工程]