Kay Wu writes about the challenges and opportunities of AI in medical eduation https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASHNR26 #ASHNR2026 #HNRad #radiology

Kay Wu writes about the challenges and opportunities of AI in medical eduation https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASHNR26 #ASHNR2026 #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 #ASHNR26 #ASHNR2026 #HNRad #radiology
New from The Vasty Deep: Training Radiologists in the Age of AI https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASHNR26 #ASHNR2026 #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 #ASHNR26 #ASHNR2026 #HNRad #radiology
New from The Vasty Deep: Training Radiologists in the Age of AI https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASHNR26 #ASHNR2026 #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 #ASHNR26 #ASHNR2026 #HNRad #radiology
New from The Vasty Deep: Training Radiologists in the Age of AI https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASHNR26 #ASHNR2026 #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 #ASHNR26 #ASHNR2026 #HNRad #radiology
Kay Wu writes about the challenges and opportunities of AI in medical eduation https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASHNR26 #ASHNR2026 #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 #ASHNR26 #ASHNR2026 #HNRad #radiology
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