How TEF-Health Supports Trustworthy AI
What does testing and validation actually look like in practice for healthcare AI?
For many SMEs, this is where an unvalidated solution must prove real clinical value and demonstrate it works for its intended users in real clinical settings.
Navigating data access, testing environments, validation strategies, and certification requirements can quickly become complex, making the transition from development to clinically usable AI a major challenge.
Join this interactive online expert roundtable to explore what the validation journey actually looks like in practice, through the perspective of SMEs, technical experts, and the TEF-Health ecosystem.
What to Expect
The webinar will explore:
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a real SME validation journey, from development to clinical readiness
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practical challenges in testing and validation
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data and infrastructure requirements for healthcare AI
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key bottlenecks in moving toward certification
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what it takes to build trustworthy AI solutions that are viable for real clinical use
The discussion will also highlight how TEF-Health supports SMEs throughout this journey through access to infrastructures, testing environments, validation expertise, and regulatory guidance.
Speakers
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Petra Ritter — TEF-Health Coordinator and Director, Brain Simulation Section at Charite
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Bjoern Eskofier — Founding Spokesperson, Department Artificial Intelligence in Biomedical Engineering at FAU Erlangen-Nürnberg
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Jorge Pimenta — Innovation Director at Instituto Pedro Nunes
Date & Time
📅 18 May 2026
🕐 13:00 CEST
📍 Online Webinar
A First Step Toward the TEF-Health Berlin Event
This webinar sets the stage for the upcoming TEF-Health Event in Berlin at Pariser Platz on 9 June, where Europe’s leading AI testing and experimentation initiatives will come together to discuss trusted AI, robotics, and data in healthcare.
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