Detection of Interstitial Lung Abnormalities on Chest Radiographs: Diagnostic Performance of Radiologists and Artificial Intelligence
Despite association of radiographic ILA with a clinically relevant outcome, the findings do not support radiographic screening for ILA, whether incorporating radiologist or AI interpretation.
Authors
- Yeon Joo Jeong (ORCID: https://orcid.org/0000-0002-1741-9604)
- Kwang Nam Jin (ORCID: https://orcid.org/0000-0001-5494-9113)
- Jooae Choe (ORCID: https://orcid.org/0000-0003-0486-4626)
- Hyo-jae Lee
- Hyung Jin Kim (ORCID: https://orcid.org/0000-0002-6315-714X)
- Jung Hee Hong
- Kum Ju Chae
- Yun-Hyeon Kim
- Christopher J. Ryerson
- Jong Eun Lee
- Anna J. Podolanczuk
- Soon Ho Yoon
Institutions
- Ulsan College (KR)
- Seoul National University (KR)
- Cornell University (US)
- Seoul Metropolitan Government (KR)
- Asan Medical Center (KR)
- Seoul National University Hospital (KR)
- University of Ulsan (KR)
- Chonnam National University Hospital (KR)
- SNUH SMG-SNU Boramae Medical Center (KR)
- Pusan National University Hospital (KR)
- Jeonbuk National University Hospital (KR)
- CHA University Bundang Medical Center (KR)
- St. Paul's Hospital (CA)
- Chonnam National University Hwasun Hospital (KR)
- Keimyung University (KR)
- Jeonbuk National University (KR)
Publication Details
- Journal
- American Journal of Roentgenology
- Published
- 2026-04-01
- DOI
- https://doi.org/10.2214/ajr.26.34686
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00