Join Segmed at ECR 2026!

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Visit us at Booth #AI-11 to explore how Segmed can revolutionize your approach to radiology with real-world imaging data (RWiD) and multimodal datasets.
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At Segmed, we're dedicated to enhancing patient care by integrating RWiD to streamline research and innovation. Our solutions facilitate seamless access to structured, de-identified radiology images and reports, from a diverse population for your research projects. Segmed helps you harness the full potential of imaging data for:

• AI Algorithm Training and Validation
• Medical Device Development
• Real-World Evidence

We'll be attending the upcoming ECR Conference and are eager to connect with you to discuss how Segmed can support your mission to improve patient care.

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Visit Us at Booth #AI-11

Discover the future of AI in real-world imaging data at our booth in the AI Exhibition Hall. Meet our team and see how Segmed’s solutions can accelerate your research and development. To schedule time with us, request a meeting at our booth by filling out the form at the end of this page.
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Segmed Scientific Agenda at ECR 2026

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Wednesday, March 4, 2026

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‍Topic: The use of oligometastatic disease in routine radiology practice: a real-world data analysis
Time: 11:30–12:30 CET
Room: M-Building – Research Stage 1
Speaker: Martin Willemink, MD, PhD, Chief Scientific Officer & Co-founder at Segmed

Segmed award-winning research demonstrating how real-world imaging data can be used to evaluate the application of oligometastatic disease concepts in routine radiology practice.

Friday, March 6, 2026

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Topic: Benchmarking of Large Language Models performance for CAD-RADS scoring: a multicentric study
Time: 14:48–14:54 CET
Room: EPOS™ Area – Stage B
Speaker: Martin Willemink, MD, PhD, Chief Scientific Officer & Co-founder at Segmed

A multicenter study benchmarking large language models for CAD-RADS scoring, highlighting the importance of real-world data in clinical AI validation.

Saturday, March 7, 2026

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AI Lightning Talks

Topic: Multimodal Real-World Data: The engine of medical AI
Time: 11:20–11:26 CET
Room: AI Theatre
Speaker: Martin Willemink, MD, PhD, Chief Scientific Officer & Co-founder at Segmed

A lightning talk on why multimodal real-world data is foundational for building scalable, trustworthy medical AI solutions.

Invited Lecture

Topic: How to handle data quality and data bias
Session: IF 20 – Trust, but verify: ethics and errors on the AI canvas
Time: 14:00–15:30 CET
Room: ACV – Room 2
Speaker: Martin Willemink, MD, PhD, Chief Scientific Officer & Co-founder at Segmed

An invited lecture addressing data quality and bias—two of the most critical challenges in developing reliable medical AI systems.

Panel Discussion

Topic: How can we be sure of what AI tells us?
Session: IF 20 – Trust, but verify: ethics and errors on the AI canvas
Time:  14:00–15:30 CET
Room: ACV – Room 2
Panelists: Martin Willemink, Mohammad Hosein Rezazade Mehrizi, Paul Yi
Moderator: Daniel Pinto Dos Santos

A multidisciplinary panel discussion focused on trust, transparency, and validation in AI-driven clinical decision-making.

Research Presentation Session

Topic: The utility of “thinking” in CAD-RADS scoring of an open-source hybrid-reasoning large language model
Time: 14:00–15:30 CET
Room: M-Building – Research Stage 3
Speaker: Lennart Koetzier, MS, PhD Candidate, UMC Utrecht

A research presentation examining reasoning-enabled large language models for CAD-RADS scoring using real-world imaging data.

Journals Session – Most Downloaded Article IV

Topic: The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
Time: 14:00–15:30 CET
Room: M-Building – Research Stage 6
Authors: Martin J. Willemink, Peter B. Noel
Presenter: Bernd Hamm, Editor-in-Chief, European Radiology

A journal session highlighting one of the most downloaded articles on the evolution of CT image reconstruction and the growing role of AI.

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