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

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

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 #XRay #ShortcutLearning #MachineLearning

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

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 #XRay #ShortcutLearning #AIBias

New Commentary! Shortcut learning is a major problem for generalizability, and models may be learning radiographic exposure parameters https://doi.org/10.1148/ryai.260590 #ShortcutLearning #AIGeneralizability #ML

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 #ShortcutLearning #AI

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 #XRay #ShortcutLearning #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 #ShortcutLearning #ML #MachineLearning

More than Meets the Eye: Exposure Parameters Cause Shortcut Learning in Radiography Deep Learning Models https://doi.org/10.1148/ryai.260590 #ShortcutLearning #Radiology #ExposureParameters

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 #XRay #ShortcutLearning #AIBias

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 #XRay #ShortcutLearning #RadiologyAI