Abstract / Summary
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. 支气管哮喘(简称哮喘)是一种常见的慢性气道炎症性疾病,其全球疾病负担持续增加。当前哮喘管理仍然面临多方面挑战,包括疾病诊断不足、治疗策略个体化程度有限、患者长期依从性不佳及预后评估与风险预测不够精准等。近年来,人工智能技术在哮喘的全病程管理方面展现出独特优势,本文系统综述了人工智能在哮喘诊断、评估、治疗及随访等方面的研究进展,旨在为人工智能在哮喘全病程管理中的进一步研究与应用提供新思路。.
Topics
Primary Source
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
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