Tools for AI
RSNA’s community-built AI tools provide the essential infrastructure you need to adopt or advance AI in medical imaging, solve real-world workflow challenges and enable interoperability between systems.
Technology Stack
Created by radiologists for radiologists, our technology stack provides standard terminology, structured data and templates you can use for greater efficiency and high-quality reporting.
RadLex
Download a set of standard terms to uniformly share diagnostic results, facilitate data analysis and connect systems.
Learn MoreRadElement
Implement structured Q&A sets into your reporting system to make data AI-ready and more useful for clinical decision support.
Learn MoreRadReport
Access our free library of AI-compatible templates to improve reporting consistency and outcomes research.
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RSNA DICOM Anonymizer
Protect patient privacy with RSNA’s DICOM Anonymizer—a Python-based tool that removes or modifies personal identifiers in DICOM files for research purposes. Its user-friendly interface and flexible settings let you choose your level of anonymization and export files to local or cloud storage, making it ideal for secure, AI-ready workflows.
Integrating the Healthcare Enterprise (IHE)
Connect RadLex, RadElement and RadReport with IHE technical frameworks to support smarter, interoperable systems that optimize the way you and your patients to create, manage and access electronic health records.
We’re Here to Support Your Integration Efforts
Whether you’re just getting started or are refining your systems, we encourage you to contact us for guidance. Email our team at informatics@rsna.org