Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.
Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.
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DOI：
10.7150/ijms.58191
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发表时间：
2021
影响因子：
3.6
通讯作者：
Mao H
中科院分区：
文献类型：
--
作者：
Feng Y;Wang Y;Zeng C;Mao H
慢性气道疾病的特征是气道炎症、阻塞和重塑，并且显示出高患病率，特别是在发展中国家。其中，哮喘和慢性阻塞性肺疾病（COPD）的发病率和社会经济负担在全球范围内最高。尽管有广泛的指南用于预防，早期诊断和合理治疗这些终身疾病，但它们在精准医学中的价值非常有限。人工智能（AI）和机器学习（ML）技术已成为挖掘和整合临床实践中大规模异构医疗数据的有效方法，最近有几种AI和ML方法已应用于哮喘和COPD。然而，很少有方法对临床实践有重大贡献。在这里，我们回顾了AI和ML在哮喘和COPD中实施的四个方面，以总结现有知识，并指出临床医生安全有效地应用AI和ML工具所需的未来步骤。
Chronic airway diseases are characterized by airway inflammation, obstruction, and remodeling and show high prevalence, especially in developing countries. Among them, asthma and chronic obstructive pulmonary disease (COPD) show the highest morbidity and socioeconomic burden worldwide. Although there are extensive guidelines for the prevention, early diagnosis, and rational treatment of these lifelong diseases, their value in precision medicine is very limited. Artificial intelligence (AI) and machine learning (ML) techniques have emerged as effective methods for mining and integrating large-scale, heterogeneous medical data for clinical practice, and several AI and ML methods have recently been applied to asthma and COPD. However, very few methods have significantly contributed to clinical practice. Here, we review four aspects of AI and ML implementation in asthma and COPD to summarize existing knowledge and indicate future steps required for the safe and effective application of AI and ML tools by clinicians.
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