London, 25 November 2025 — Newton’s Tree announced today that it will take part in “Radiology Reimagined: AI, innovation and interoperability in practice” to be held Nov. 30 - Dec. 3 at the 111^th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2025), the world’s leading annual medical imaging forum, at McCormick Place in Chicago.

“Radiology Reimagined: AI, innovation and interoperability in practice” features a demonstration of new AI technologies and integration standards needed to embed AI into the diagnostic radiology workflow. The interactive exhibit will enable attendees to determine what is possible, identify the right questions to ask, and learn how to introduce and scale AI into their radiology practices.

This year’s demonstration features 18 products from 16 vendor partners, each demonstrating cutting-edge use cases across various subspecialties. Using real-world clinical scenarios and interoperability standards, vendors will walk RSNA 2025 meeting attendees through the exhibit to experience new tools and practice enhancements enabled by AI. 

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

In this year’s demonstration, Newton’s Tree is implementing the orchestration and testing components of their enterprise platform, which enables health systems to safely adopt AI across modalities. In the first use-case, Newton’s Tree receives HL7 ORM and DICOM MR images, routing them to Siemens Healthineers AI Rad product. The AI results are then clinically reviewed using Newton’s Tree AI Review tool, before being released into the Visage PACS system. AI results are also translated into FHIR Observations and HL7 ORU and disseminated to EPIC Radiant, Rad AI Reporting, and ACR’s Assess AI tool. In the second use-case, Newton’s Tree receives HL7 ORM and DICOM CT images for a prior and current scan of a patient, routing them to Icometrix icobrain-oh product. The AI results are released into Visage PACS, with translations into FHIR Observations and HL7 ORU. The Newton’s Tree platform also checks for clinical logic around percentage change in one of the AI results observations, triggering an alert in Epic Radiant.

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Dewet Diener, VP of Engineering at Newton’s Tree, commented:

“We’re excited to showcase how Newton’s Tree integrates AI into the radiology workflow in a way that is both seamless and standards-based. This demonstration allows radiologists to see firsthand how AI can enhance decision-making, improve efficiency, and ultimately elevate patient care. By leveraging interoperability standards, our platform ensures that AI tools fit naturally into existing systems, enabling smarter, more connected imaging practices."

The demo 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: 

• 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.

New in 2025, attendees are invited to visit the booth at noon, Monday through Wednesday, for a 20-minute dive into key radiology topics:

• Speaking the Same Language: Enabling Semantic Interoperability in Radiology: Attendees will learn how RadLex, CDEs, and standardized vocabularies ensure consistent, meaningful data exchange.

• FHIR in Radiology: Enabling Next-Generation Imaging Workflows: Attendees will explore how FHIR, CDS Hooks, and FHIRcast are powering smarter, more connected imaging systems.

• Advancing Radiology Workflow with Modern IHE Profiles (AIR, IMR, IRA): Attendees will see how new IHE profiles support AI integration, multimedia reporting and seamless tool interoperability.

On Wednesday, Dec. 3, the AI Showcase Theater session, “Behind the Scenes of Radiology Reimagined: AI, Innovation and Interoperability in Practice,” will offer an inside look at how the demonstration comes together.

Radiology Reimagined: AI, innovation and interoperability in practice will be presented Sunday, Nov. 30 to Wednesday, Dec. 3 (10 a.m. – 5 p.m. CT) at RSNA 2025, McCormick Place, South Hall A, Level 3 – AI Showcase – Booth 5104.

For more information on RSNA 2025 or to register, visit RSNA.org/annual-meeting. 

About Newtonʼs Tree

Newtonʼs Tree is a global healthcare AI company that enables healthcare providers to select, test, deploy, and monitor in-house and third-party AI products through its enterprise AI platform. You can visit us at Booth 5512 at RSNA 2025 and learn more at  newtonstree.ai.

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Contact:

‍Newton’s Tree

David Bericat

VP of Product & Partnerships

Newton’s Tree Ltd

david.bericat@newtonstree.com