Assuring Transparency of AI Software after Deployment https://doi.org/10.1148/ryai.260811 #ESHNR2026 #HNRad #radiology

A Deep Learning Model to Predict Breast Cancer Recurrence Using Longitudinal Mammograms and Clinical Data https://doi.org/10.1148/ryai.260941 #ESHNR2026 #HNRad #radiology

A deep learning model erases vessels from breast MRI https://doi.org/10.1148/ryai.250630 #ESHNR2026 #HNRad #radiology

An expert-guided annotation loop reduced expert annotation time and enabled estimated cost savings while producing high-quality reference standard CT and MRI segmentations https://doi.org/10.1148/ryai.250200 @muellerrom.bsky.social #ESHNR2026 #HNRad #radiology

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 #ESHNR2026 #HNRad #radiology

Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices https://doi.org/10.1148/ryai.260385 #ESHNR2026 #HNRad #radiology