Radiology Reimagined: AI, Innovation and Interoperability in Practice

Radiology Reimagined: AI, innovation and interoperability in practice is an in-person demonstration that showcases new technologies and communication standards needed to integrate AI into the diagnostic radiology workflow.

Presented at the RSNA annual meeting, the demonstration uses real-world clinical scenarios and interoperability standards to demonstrate new tools and practice enhancements enabled by AI.

Scenario

Each demonstration follows a fictional patient through a real, clinical scenario involving both emergent and long-term care. It includes many steps in the radiology workflow where AI can assist the radiologist and improve the efficiency and quality of care.

The diagrams linked here give a visual overview of the flow of information among systems in a radiology practice with AI tools integrated: 

Standards Foundation

Each demonstration shows how radiology systems can be integrated to efficiently include AI-based applications at key points in the workflow. This seamless integration relies on a set of interoperability standards, including: 

  • IHE AI Results specifies how results are stored, retrieved, and displayed.
  • IHE AI Workflow for Imaging specifies methods to request, manage, perform, and monitor imaging AI algorithms.
  • Interactive Multimedia Reporting provides ways to enhance radiology reports, for example, by adding hyperlinks to a specific image of interest described in the report text.
  • RadElement Common Data Elements (CDEs) provide standardized ways of representing observations made in the course of radiologic diagnosis.
  • HL7 FHIRcast synchronizes clinical applications (EHR, PACS, reporting systems, AI tools) to a given study or patient.

Ways to Engage With Radiology Reimagined at RSNA 2026

See the Demonstrations

Attend the Radiology Reimagined demonstrations, presented live every half hour from Sunday to Wednesday in Booth 4729, South Hall A, Level 3 (Nov. 30 – Dec. 2, 10 a.m. – 5 p.m.), during the RSNA annual meeting.

Attend a Special AI Theater Session

As AI adoption in radiology continues to increase, radiologists often interact with multiple AI applications that can affect workflow and user experience. This session will examine strategies for designing and integrating AI tools around radiologists' needs, with discussion of usability, workflow integration, efficiency and clinical adoption.

  1. South Hall A, Level 3, AI Theater
    Booth 5536

    Speakers:
    Nina Kottler, MD, MS; Marc Kohli, MD; Ali Tejani, MD

Attend Noon Hour Talks

Stop by the Radiology Reimagined booth (Booth 4729) Sunday through Wednesday at 12 p.m. during RSNA 2026 for Noon Hour Talks. These insightful 20-minute sessions explore how emerging standards and technologies are reshaping the future of radiology. Learn from experts and see how innovation is driving smarter imaging workflows, better interoperability and more impactful reporting.

  1. Explore updates to RadLex, LOINC and SNOMED CT terminology for radiology exams, protocols and series. The session will also show how standardized ontology systems can support research and analysis of imaging utilization.

    Speakers:
    Kirti Magudia, MD, PhD; Audrey Verde, MD, PhD

  2. See how emerging standards from the Open Imaging Data Model Initiative can transform narrative findings into structured, coded data. Through example cases, learn how the Imaging Problem List can support longitudinal tracking, draft reporting and trustworthy clinical AI.

    Speakers:
    Michael Hood, MD; Neil K. Bhatia, MD

  3. Explore a practical framework for governing radiology AI across its lifecycle, from evaluation and validation through deployment and monitoring. Real-world examples will illustrate how health systems and vendors can support safe, measurable and sustained outcomes.

    Speakers:
    Namita Sharma Gandhi, MD, MScHI; Christopher J. Roth, MD

  4. Learn how emerging interoperability standards are enabling new approaches to radiology reporting. This talk will examine three IHE profiles and their implementation guidance for using HL7 FHIR in radiology workflows: Imaging Diagnostic Report, Imaging Reporting Applications and Interactive Multimedia Reporting.

    Speaker:
    Seth J. Berkowitz, MD

 

RSNA 2026 Participants

Fovia
GE Healthcare
Jacobian logo
Microsoft
Qvera
Siemens Healthineers

Call for Participation

We invite vendors to demonstrate their AI-driven tools for medical imaging at RSNA 2027. This demonstration, showcasing real-world workflows and standards-based interoperability, is open to both AI-integrated tools and those designed to facilitate AI integration.

Please submit your expression of interest by March 12, 2027. Email direct questions to informatics@rsna.org.

I'm Interested!

Video Archive

View previous demonstrations to learn more about how AI can be used to support improvements in patient care.

RSNA 2025

Watch an overview of the clinical scenarios and process steps during the Radiology Reimagined demonstration at RSNA 2025.

Agentic AI Orchestration in the ED

This video highlights how automated, context-aware agentic AI workflows can coordinate imaging, data and insights to support rapid decision making in emergency care. It also touches on the important subject of AI monitoring.

AI Driven Hydrocephalus Detection & Monitoring

This video demonstrates how automated AI imaging insights can help identify ventricular changes early and support timely clinical intervention, including CDS Hooks technology.

Beyond Nodules: Multi-Model Opportunistic Screening

This video showcases how two AI models, running in tandem, can surface a broader range of actionable findings across routine imaging to better inform patient care. It includes a demonstration of the IHE Integrated Reporting Applications (IRA) profile, allowing real-time synchronization between the radiology viewer and the report dictation system.