Segmed at RSNA 2025 — Real-World Imaging Data for AI Innovation

Segmed RSNA 2025

As the healthcare and artificial intelligence (AI) worlds converge ever more deeply, the upcoming Radiological Society of North America (RSNA) 2025 conference (Nov 30 — Dec 3) in Chicago becomes a major milestone. Among the key participants is Segmed, attending with a sharp focus on real-world imaging data and multimodal datasets as the backbone for next-generation AI solutions.

At Booth #5147 in the AI Showcase Hall at McCormick Place, Segmed will demonstrate how it transforms raw clinical imaging and de-identified data into structured, ready-to-use cohorts for R&D, regulatory submission, and real-world evidence. This offering is particularly timely: as AI models grow more sophisticated, the data they rely on must grow in scale, diversity and structure.

Why this matters now

The performance of AI models — especially large foundation models applied to healthcare — depends not just on algorithmic sophistication, but on the quality, diversity and relevance of underlying data. In its RSNA 2025 “AI Theatre” session, Segmed teams up with Microsoft to unpack precisely this: “From Chaos to Clarity: Preparing Medical Data for Foundation Models”, scheduled for Tuesday, December 2 at 10:30 am CT. Attendees can expect to learn practical insights about data curation, de-identification, regulatory compliance, and integrating multimodal imaging/report data for AI readiness.

Key highlights of Segmed’s presence

  • Exhibition participation: Visitors can explore Segmed’s platform, ask detailed questions, and see live demos of how imaging, reports and longitudinal data are made accessible for AI/ML workflows.
  • Thought-leadership session: The collaboration with Microsoft emphasizes the shift toward foundation model-driven healthcare AI and underscores that data preparation is a pivotal bottleneck.
  • Featured lecture: On December 3 at 3:00 pm (Room S503, Session W7-CVA03) Segmed’s own Dr Martin Willemink will lead “How to Use AI for Clinical Vascular Imaging”. This session zeroes in on practical imaging workflows and the role of AI in vascular diagnosis and treatment planning.

What attendees can gain

Whether you are a radiologist, an imaging software developer, a medical device engineer, a data scientist or a life-sciences researcher, the opportunity is significant:

  • Discover how to access de-identified cohorts of imaging and report data across modalities and demographics.
  • Learn standards and best practices for preparing data that feeds into robust, generalizable AI models.
  • Network with peers who are navigating regulatory, ethical and operational challenges of deploying AI in imaging.
  • See real use-cases where imaging-AI is moving toward clinical-grade readiness, rather than just prototype.

The Broader Impact

In the rapidly evolving healthcare AI ecosystem, one of the large hurdles is data silos and lack of standardization. Many model failures trace back not to the algorithm but to poor data: fragmented sources, missing modalities, unbalanced demographics, or insufficient annotations. By positioning itself at RSNA 2025 with a solution oriented around real-world imaging data and multimodal integration, Segmed is aligning with the broader trend of turning imaging data into actionable insight. According to their website, the company serves life sciences, medical devices, and healthcare provider markets — facilitating access to high-quality, aggregate imaging studies from multiple geographies and settings.

Moreover, as regulatory frameworks (e.g., in the US and Europe) begin to require more evidence-based AI in clinical use, the ability to draw on robust imaging cohorts becomes a competitive advantage. Segmed’s RSNA presence signals not just a product pitch but a commitment to shaping that ecosystem.

Final Take

If you are planning to attend RSNA 2025, or are involved in imaging-AI development, make sure to stop by Booth #5147 at the AI Showcase Hall and register for the theatre session on December 2. The combination of real-world imaging data, multimodal integration and best-practice frameworks is rapidly becoming a cornerstone of successful AI in radiology and healthcare. Segmed’s approach offers a practical pathway from raw clinical data to model-ready datasets, helping innovators unlock the next generation of imaging-driven diagnoses, workflows and treatments.

This is not just another conference stop — it’s a window into how imaging + data + AI are converging in a scalable, ready-for-deployment way. Don’t miss it.

Location: United States

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