Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment https://doi.org/10.1148/ryai.250731 #ChestRad #XRay #RadiologyAI

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. https://doi.org/10.1148/ryai.250731 #ChestRad #ML #MachineLearning

Deep learning models trained on CXRs may exploit exposure parameters as shortcut features; exposure-regimen audits may flag high-risk conditions before clinical deployment https://doi.org/10.1148/ryai.250731 #ChestRad #ML #MachineLearning