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.
Jingli Du;Yue Su;Juan Qiao;Shang Gao;Enjun Dong;Ruilan Wang;Yanhui Nie;Jing Ji;Zhendong Wang;Jianqin Liang;Wenping Gong;
Tuberculosis Control Team,Senior Department of Tuberculosis,The Eighth Medical Center of PLA General Hospital,Beijing 100091,ChinaDepartment of Computer Science and Technology,College of Management Science and Engineering,Capital University of Economics and Business,Beijing 100071,ChinaThe Second Ward of Tuberculosis Department,Senior Department of Tuberculosis,The Eighth Medical Center of PLA General Hospital,Beijing 100091,ChinaBeijing 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
计算机与自动化
tuberculosis;diagnosis;artificial;
《Chinese Medical Journal》 2024 (005)
P.559-561 / 3
supported by the Special Research on Health and Epidemic Prevention(No.22FYFH13).
10.1097/CM9.0000000000003018
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