AI, Machine Learning, and HRCT in ILD: Fibrosis Quantification

Drs. Swigris and Humphries discuss how data-driven texture analysis (DTA) on HRCT enables precise, objective quantification of fibrotic burden in ILD, overcoming the limitations of semi-quantitative visual scoring and blunt physiologic measures. They further describe a complementary AI-based classifier that predicts histologic usual interstitial pneumonia (UIP) patterns from CT, enhancing prognostication and potentially reducing the need for surgical lung biopsy.