Tuberc Respir Dis.
2025 Apr;88(2):278-291. 10.4046/trd.2024.0062.
Application of Artificial Intelligence in Thoracic Radiology: A Narrative Review
- Affiliations
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- 1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
- 2Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
- KMID: 2566183
- DOI: http://doi.org/10.4046/trd.2024.0062
Abstract
- Thoracic radiology has emerged as a primary field in which artificial intelligence (AI) is extensively researched. Recent advancements highlight the potential to enhance radiologists’ performance through AI. AI aids in detecting and classifying abnormalities, and in quantifying both normal and abnormal anatomical structures. Additionally, it facilitates prognostication by leveraging these quantitative values. This review article will discuss the recent achievements of AI in thoracic radiology, focusing primarily on deep learning, and explore the current limitations and future directions of this cutting-edge technique.
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