Artificial Intelligence- based Decision Support for HRCT Stratification in Fibrotic Lung Disease: An International Study of 195 Observers From 43 Countries

To evaluate a deep learning algorithm as a decision support tool, for classifying HRCT based on ATS/ERS/JRS/ALAT IPF guideline criteria (SOFIA), among an international group of radiologists and pulmonologists. Automated decision support used in conjunction with formal HRCT evaluation may improve the application of guideline-based HRCT diagnoses and in principle could be used both as a screening tool in clinical trials and in the initial evaluation of patients with pulmonary fibrosis.