Research status and prospect of artificial intelligence technology in imaging diagnosis of pediatric pulmonary tuberculosis

doi:10.19871/j.cnki.xfcrbzz.2023.06.015

Abstract

Abstract: Tuberculosis remains one of the most prevalent infectious diseases globally, and pediatric tuberculosis continues to be an important issue for the public health of children and adolescents in our country. Due to the lack of specificity in the clinical diagnosis of pediatric tuberculosis, early screening and diagnosis pose certain challenges. Chest imaging diagnosis is considered a practical approach to tuberculosis diagnosis and has high utility in controlling pediatric pulmonary tuberculosis. In recent years, artificial intelligence (AI) technology has rapidly developed and achieved remarkable results in the medical field, particularly in big data processing, reducing manpower costs, and improving clinical efficiency. The integration of AI and medical imaging has gradually been applied to tuberculosis screening and diagnosis, leading to various AI algorithms, software, and diagnostic systems aimed at tuberculosis screening and diagnosis using imaging examinations. Previous studies have mainly focused on adult tuberculosis, with insufficient reports and attention given to pediatric pulmonary tuberculosis. This article primarily summarizes the research and application status of AI technology in the imaging diagnosis of tuberculosis and pediatric pulmonary tuberculosis in recent years and provides an overview of its limitations and future prospects in the field of pediatric pulmonary tuberculosis. It is hoped that future AI development research will pay more attention to children's cases.

Key words: Pulmonary tuberculosis, Pediatric, Artificial intelligence, Imaging diagnosis

CLC Number:

R445
R529.9

Luo Fan, Zhang Na, Li Chenxi. Research status and prospect of artificial intelligence technology in imaging diagnosis of pediatric pulmonary tuberculosis[J]. Electronic Journal of Emerging Infectious Diseases, 2023, 8(6): 79-83.

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