AI resources and training
We lead the way in providing the knowledge, training and networking community you need to understand the role of artificial intelligence (AI) in medical imaging and the implications it has to your practice.
In the ever-changing field of medicine, AI has the potential to redefine medical imaging. AI technology is positioned as the solution to meet increasing demands in clinical imaging while maintaining and improving quality. Although challenges exist, exciting innovation is happening now.
Discover our resources and educational opportunities surrounding deep learning, machine learning and artificial intelligence.
AI at RSNA 2021
Get a peek into the future and see how AI could be integrated into your clinical radiology practice.
Don't miss AI-related sessions on hot topics like AI implications for health equity, ethics of AI in radiology and more.
RSNA organizes AI challenges to spur the creation of AI tools for radiology. Learn more about this year’s two challenges and get entry and deadline details.
Watch AI come to life at exhibitor booths, attend educational sessions and learn how AI is shaping radiology’s future in the AI Showcase.
Education and resources
Learn more about AI in radiology and what it means for the profession.
Learn on your own time with recorded AI education.
Connect with imaging professionals and AI researchers to discuss applications of AI in radiology.
Receive funding for your AI research from our R&E Foundation.
Earn a certificate with the first and only radiology-specific AI course that provides a case-based, hands-on curriculum of foundational-level AI education.
Tools and images
RSNA’s open data repository for COVID-19 imaging research and education efforts.
Discover the latest peer-reviewed AI research in medical imaging with RSNA's online-only journal.
Explore RSNA data standards and tools that will enable the practice of the future.