AI, Machine Learning, and HRCT in ILD: Challenges and Future Opportunities

Drs. Humphries and Swigris describe how AI-driven CT analysis can detect subtle imaging features of ILD and UIP, outperforming visual reads for risk stratification and prognosis. They highlight how these tools may enable earlier identification of patients at high risk for fibrosis progression while also stressing current limitations, including opacity of algorithms, data dependence, and the need to adapt imaging hardware and clinical workflows.