AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #SABI2026 #AbdRad #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 #SABI2026 #AbdRad #radiology

New Special Report! Three underexplored domains drive the success of human-AI collaboration in radiology https://pubs.rsna.org/doi/10.1148/ryai.260325 shk03.bsky.social #SABI2026 #AbdRad #radiology

Image Quality in the Era of Artificial Intelligence: Understanding the Limitations of AI-based Image Reconstruction and Postprocessing https://doi.org/10.1148/ryai.260100 #SABI2026 #AbdRad #radiology

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): Explanation, Elaboration, and Examples https://doi.org/10.1148/ryai.260835 #SABI2026 #AbdRad #radiology

DMUVL-DiagNet: a new model for accurate characterization of superficial LA using dual-modality US videos https://doi.org/10.1148/ryai.260131 #SABI2026 #AbdRad #radiology

After the 2024 FDA guidance, adoption of Predetermined Change Control Plans (PCCPs) increased among radiology AI devices, but better reporting transparency is needed. https://doi.org/10.1148/ryai.260385 #SABI2026 #AbdRad #radiology

New Special Report! Three underexplored domains drive the success of human-AI collaboration in radiology https://pubs.rsna.org/doi/10.1148/ryai.260325 shk03.bsky.social #SABI2026 #AbdRad #radiology

Perspectum is a Bronze Sponsor at SABI 2026, 11 to 14 Oct, Savannah GA. Michele Pansini and Balaji Ganeshan will be at our tabletop in the exhibit area to talk quantitative liver MRI and where it fits in body imaging workflows. Come and say hello. #Perspectum #SABI2026