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Bridging the Implementation Gap in AI for Stroke Interventions
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Bridging the Implementation Gap in AI for Stroke Interventions

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About this event

Join us for our next Machine Learning in Healthcare meetup in Berlin — proudly sponsored by the QUEST Centre!

Pizza is still back!

We are very happy to announce our speaker Frank te Nijenhuis, who is a PhD candidate at the ICAI Stroke Lab at Erasmus MC in Rotterdam. With a background in medicine and computer science, he develops deep‑learning models to support real‑time clinical decision-making during stroke treatment.

His talk´s title is:
Bridging the Implementation Gap in AI for Stroke Interventions: Challenges and Opportunities
Abstract: In recent years, rapid advances in artificial intelligence (AI) have led to a proliferation of AI models in medical imaging. However, despite promising performance in research settings, many of these models have yet to translate into meaningful clinical impact.
In this talk, Frank will highlight several AI models developed for stroke imaging and examine the barriers that hinder their implementation in clinical practice. He will explore potential pathways to overcome these challenges and conclude with an interactive discussion on co-creation as a strategy to bridge the gap between innovation and real-world adoption.

📍 Location: “Atrium” conference room, 5th floor, Spreepalais, Anna-Louisa-Karsch-Straße 2, 10178 Berlin
🕕 Doors open at 6:00 pm — Talks start at 7:00 pm!

  • 6:00–7:00 pm — Arrival, food, and networking
  • 7:00 pm — Welcome by the hosts, followed by the talk + Q&A
  • 8:00 pm — More networking (and possibly more pizza)

⚠️ Pro tip: Sometimes only one of the four elevators is working!

📢 IMPORTANT: If you RSVP but later realize you can’t make it, please release your spot so others can join.

This meetup is made possible with the kind support of the QUEST Centre for Responsible Research at BIH, who are providing both the venue and the delicious refreshments.

We look forward to seeing you there!x

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