Artificial Intelligence in Computed Tomography for Quantifying Lung Changes of Bronchiectasis Patients

Artificial Intelligence Based on Machine Learning in Computed Tomography for Quantifying Lung Changes of Bronchiectasis Patients

Bronchiectasis is a chronic respiratory disease characterized by permanent bronchiectasis.The incidence and prevalence of bronchiectasis have assumed continuously grows in global. Chest computed tomography (CT) remains the imaging standard for demonstrating cystic fibrosis (CF) airway structural disease in vivo. However, visual scoring systems as an outcome measure are time consuming, require training and lack high reproducibility. Our objective was to validate a fully automated artificial intelligence (AI)-driven scoring system of CF lung disease severity.

Inclusion Criteria:

• Patients diagnosed with bronchiectasis (according to the Chinese consensus, patient's previous chest CT examination must show bronchiectasis)

Exclusion Criteria:

• Patients with CT data and medical records missing