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.
See the demonstration in person
Radiology Reimagined: AI, innovation and interoperability in practice is presented Sunday to Wednesday (10 a.m. – 5 p.m.) during the RSNA annual meeting.
McCormick Place, South Hall A, Level 3 – AI Showcase – Booth 5104
Call for Participation
We invite vendors to demonstrate their AI-driven tools for medical imaging at RSNA 2025. 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 Mar. 26, 2025. Direct questions to informatics@rsna.org.
RSNA 2024 participants
Video archive
View previous demonstrations to learn more about how AI can be used to support improvements in patient care.
RSNA 2023
Introduction: Imaging AI Clinical and Data Workflow
Watch an overview of the clinical scenario and process steps from the demonstration during RSNA 2023.
Inpatient vs Outpatient Lung Cancer Workup
This video follows two patients who have lung cancer as well as some intracranial findings.
Trauma to Lung & Thyroid Nodules Team
This video follows a patient who fell and had a trauma and was found to have incidental lung and thyroid nodules.
Acute Dyspnea to Incidental Breast Mass
This video follows a patient who came into the ED with shortness of breath was found incidentally to have a breast mass that requires work up.
RSNA 2022
Prostate Cancer Work-Up
This video follows a patient through incidental findings of metastatic osseous disease to diagnosis and work-up for primary prostate cancer with automated follow-up navigation.
Stroke Triage w/ incidental findings
This video demonstrates smart scheduling for inpatient and emergency department studies, AI-enhanced accelerated imaging, and imaging activities for a patient with ischemic stroke and incidental lung nodules.
Mammo to Vehicular Trauma
This video follows a patient from her screening mammogram to ED presentation with intracranial hemorrhage after sustaining vehicular trauma.