Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment

An algorithmic framework was developed to identify and quantify shortcut learning and bias driven by exposure parameters in chest radiographs, revealing hidden sources of bias in medical artificial intelligence.