International Journal of COPD (May 2024)

Application and Prospects of Artificial Intelligence Technology in Early Screening of Chronic Obstructive Pulmonary Disease at Primary Healthcare Institutions in China

  • Yang X

Journal volume & issue
Vol. Volume 19
pp. 1061 – 1067

Abstract

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Xu Yang Department of General Practice, Donghuashi Community Health Service Center, Beijing, People’s Republic of ChinaCorrespondence: Xu Yang, Department of General Practice, Donghuashi Community Health Service Center 33 Donghuashi Street, Dongcheng District, Beijing, 100062, People’s Republic of China, Tel +86 13693088802, Fax +86 67120077, Email [email protected]: Chronic Obstructive Pulmonary Disease (COPD), as one of the major global health threat diseases, particularly in China, presents a high prevalence and mortality rate. Early diagnosis is crucial for controlling disease progression and improving patient prognosis. However, due to the lack of significant early symptoms, the awareness and diagnosis rates of COPD remain low. Against this background, primary healthcare institutions play a key role in identifying high-risk groups and early diagnosis. With the development of Artificial Intelligence (AI) technology, its potential in enhancing the efficiency and accuracy of COPD screening is evident. This paper discusses the characteristics of high-risk groups for COPD, current screening methods, and the application of AI technology in various aspects of screening. It also highlights challenges in AI application, such as data privacy, algorithm accuracy, and interpretability. Suggestions for improvement, such as enhancing AI technology dissemination, improving data quality, promoting interdisciplinary cooperation, and strengthening policy and financial support, aim to further enhance the effectiveness and prospects of AI technology in COPD screening at primary healthcare institutions in China.Keywords: chronic obstructive pulmonary disease, primary healthcare institutions, artificial intelligence, high-risk group screening, data privacy

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