bioRxiv (Cold Spring Harbor Laboratory)
Light Convolutional Neural Network to Detect Chronic Obstructive Pulmonary Disease (COPDxNet): A Multicenter Model Development and External Validation Study
August 2025 • AKM Shahariar Azad Rabby, Muhammad F. A. Chaudhary, Pratim Saha, Venkata Sthanam, Arie Nakhmani, Chengcui Zhang, R. Graham Barr, Jessica Bon, Christo…
ABSTRACT Background Approximately 70% of adults with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Opportunistic screening using chest computed tomography (CT) scans, commonly acquired in clinical practice, may be used to improve COPD detection through simple, clinically applicable deep-learning models. We developed a lightweight, convolutional neural network (COPDxNet) that utilizes minimally processed chest CT scans to detect COPD. Methods We analyzed 13,043 inspiratory chest CT scans from the…