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Deep learning-based quantitative CT assessment of interstitial lung abnormalities: prognostic risk thresholds in a

Jong Eun Lee1, Young Ju Suh2, Kyubin Kim3

  • 1Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Scientific Reports
|March 25, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Artificial IntelligenceInterstitial lung abnormalitiesLong Term Adverse EffectsQuantitative Evaluation

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