@radiology-ai.bsky.socialPredetermined 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 #RadiologyAI #SAMD #ML
@siim.org🎤 Learn from the Experts Behind Clinical AI Innovation: Elin Kindberg & Oscar Larsson
📅 Oct 14 | 12 PM ET
🎓 1.0 IIP Credit
#AIinHealthcare #MedicalImaging #RadiologyAI #PathologyAI #Sectra
@siim.org💡 Big ideas start with great conversations.
CAIMI is known for bringing together leading voices in medical imaging AI. We're proud to recognize AWS as a valued #CAIMI supporter.
vist.ly/5m57h
@siim.orgDon't miss this week's Scanning the Market CAIMI Conversations episode!
Dr. Kathy Andriole explores: How do organizations move beyond algorithms to achieve meaningful clinical impact?
🎧 Catch it here: vist.ly/5krhm
@siim.org⏰ One week out! SIIM Virtual Tech Talks: Reporting Solutions is October 8, your chance to explore the changing reporting landscape in one free virtual afternoon. Seats are filling up quickly.
✅ Register today vist.ly/5kkhc
@radiology-ai.bsky.socialNew Special Report! Three underexplored domains drive the success of human-AI collaboration in radiology buff.ly/UVDFiIM #RadiologyAI #UIUX #MachineLearning
@radiology-ai.bsky.socialNew from The Vasty Deep: Training Radiologists in the Age of AI buff.ly/1GRe2eq #RadiologyAI #ML #MachineLearning
@siim.org🚀 One webinar. Two imaging specialties. Real-world AI.
Discover: Autonomous radiology AI, Pathology workflow AI, Clinical validation strategies
📅 Oct. 14 --12 PM ET 🎓 1.0 IIP Credit 💻 Virtual & FREE
@radiology-ai.bsky.socialNew from The Vasty Deep: Training Radiologists in the Age of AI https://radiologyai.substack.com/p/training-radiologists-in-the-age #MedicalEducation #RadiologyAI #ML
@radiology-ai.bsky.socialPredetermined 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 #RadiologyAI #SAMD #ML
@siim.org🚀 Innovation doesn't happen in isolation. A huge thank you to AWS, IBIS, PaxeraHealth, Penn Medicine for fueling collaboration, education, & innovation shaping healthcare's future.
🔗vist.ly/5j3qg
@radiology-ai.bsky.socialKay Wu writes about the challenges and opportunities of AI in medical eduation https://radiologyai.substack.com/p/training-radiologists-in-the-age #RadiologyAI #AILiteracy #AI
@siim.org🩺 WEBINAR: AI in Practice: Autonomous Radiology AI & AI-Supported Pathology
📅 October 14, 2026
🎓 Earn 1.0 SIIM IIP
💲 Free for everyone
🔗 Register: vist.ly/5izd6
@radiology-ai.bsky.socialImpact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment https://doi.org/10.1148/ryai.250731 #ChestRad #XRay #RadiologyAI
@radiology-ai.bsky.socialAfter 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 #RadiologyAI #AI #ML
@radiology-ai.bsky.socialNew from The Vasty Deep: Training Radiologists in the Age of AI https://radiologyai.substack.com/p/training-radiologists-in-the-age #RadiologyAI #AILiteracy #AI
@radiology-ai.bsky.socialAfter 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 #FDA #RadiologyAI #ML
@radiology-ai.bsky.socialAn 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
@radiology-ai.bsky.socialAssuring Transparency of AI Software after Deployment https://doi.org/10.1148/ryai.260811 #FDA #RadiologyAI #ML
@radiology-ai.bsky.socialAfter 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 #RadiologyAI #AI #MachineLearning