Traditional and Emerging AI-based Applications for Chronic Obstructive Pulmonary Disease on Chest CT

박희준, 김동훈
Obstructive Lung Disease (OLD)
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Date Published

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous condition characterized by varying combinations of emphysema, small airways disease, and chronic bronchitis. In the past, quantification of chest CT imaging had limitations in its application to clinical practices. However, recent advances in pulmonary imaging technologies, particularly the use of artificial intelligence (AI), have significantly improved the quantification of chest CT imaging. In this article, the authors, who are researchers at Coreline Soft, discuss the current situation, limitations, and future role of chest CT imaging quantification in the assessment of COPD. They highlight the potential of AI-based solutions, such as those developed by Coreline Soft, to transform the diagnosis, evaluation, and management of this complex disease.


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