AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #SRU26 #USRad #Ultrasound #radiology

AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #SRU26 #USRad #Ultrasound #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 #SRU26 #USRad #Ultrasound #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 #SRU26 #USRad #Ultrasound #radiology
AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #SRU26 #USRad #Ultrasound #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 #SRU26 #USRad #Ultrasound #radiology
Human-AI Collaboration in Radiology: The Blind Spots https://pubs.rsna.org/doi/10.1148/ryai.260325 shk03.bsky.social #SRU26 #USRad #Ultrasound #radiology
AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #SRU26 #USRad #Ultrasound #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 #SRU26 #USRad #Ultrasound #radiology
Human-AI Collaboration in Radiology: The Blind Spots https://pubs.rsna.org/doi/10.1148/ryai.260325 shk03.bsky.social #SRU26 #USRad #Ultrasound #radiology