Research progress on imaging manifestations of nontuberculosis mycobacterial pulmonary and application of new artificial intelligence technology

doi:10.19982/j.issn.1000-6621.20230404

Abstract

Abstract:

The incidence of diseases caused by nontuberculosis mycobacterial is gradually increasing in the world, and it has become one of the key issues of tuberculosis prevention and control in China. Medical imaging has become an essential auxiliary diagnostic method due to the characteristic imaging manifestations of nontuberculosis mycobacteria pulmonary disease. Artificial intelligence has developed rapidly in the field of medicine, and imaging-based artificial intelligence technology has made new research attempts in the direction of nontuberculosis mycobacterial pulmonary disease in recent years. Therefore, the authors collates the imaging manifestations of non-tuberculosis mycobacteria pulmonary disease and introduces the application of new artificial intelligence technologies in imaging diagnosis, prognosis, and treatment evaluation, with the expectation of better understanding the development of disease in the field of artificial intelligence as well as providing new thoughts on the way of diagnosis and treatment evaluation.

Key words: Mycobacteria, atypical, Tomography, X-ray computed, Artificial intelligence, Diagnosis

CLC Number:

Gao Shan, Nie Wenjuan, Hou Dailun, Chu Naihui. Research progress on imaging manifestations of nontuberculosis mycobacterial pulmonary and application of new artificial intelligence technology[J]. Chinese Journal of Antituberculosis, 2024, 46(3): 362-366. doi: 10.19982/j.issn.1000-6621.20230404

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