AI resources and training
RSNA leads the way in providing the knowledge, training and community you need to understand the role of AI in medical imaging and the implications it has for your practice. Although challenges exist, exciting innovation is happening now.
Explore our resources and educational opportunities surrounding AI, machine learning and deep learning.
AI education and resources
Enroll in the first and only radiology-specific AI program that provides an on demand, case-based curriculum of foundational and advanced-level AI education.
Our interactive Spotlight Courses take place all over the world and cover a wide variety of topics — including imaging AI.
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.
RSNA organizes AI challenges to spur the creation of AI tools for radiology. Learn more about how an AI challenge works.
Imaging AI at the annual meeting
View our archive of interoperability demonstrations from past annual meetings to see how AI could be integrated into your clinical radiology practice.
The 2023 AI challenge focuses on screening mammography for breast cancer detection — learn how to participate and get deadline details.
The AI Showcase is the center of all the latest imaging AI technology at the annual meeting. Access the RSNA 2022 AI Showcase until May 1, 2023.
View RSNA 2022 industry presentations from companies highlighting the innovations fueling the future of AI until May 1, 2023.
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.