[Advances in the application of artificial intelligence in the whole-course management of bronchial asthma].

Authors

N Wang, Y Zhou, X Zhang, H Su, M Zhang

Published in

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases. Volume 49. Issue 8. Pages 891-896. Aug 12, 2026.

Abstract

Bronchial asthma (asthma) is a common chronic inflammatory airway disease with a steadily increasing global disease burden. Current asthma management continues to face multiple challenges, including underdiagnosis, limited individualization of treatment strategies, poor long-term patient adherence, and insufficient accuracy in prognosis evaluation and risk prediction. In recent years, artificial intelligence (AI) technology has demonstrated unique advantages in the whole-course management of asthma. This article provides a systematic review of research progress in the application of AI to asthma diagnosis, assessment, treatment, and follow-up, aiming to offer new insights for further research and application of AI in the whole-course management of asthma.

PMID:
42557078
Bibliographic data and abstract were imported from PubMed on 06 Aug 2026.

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