DAY 1
February 26
Venue: Oude Vismijn
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Two parallel program channels will take place, allowing attendees to switch between sessions freely.
TRACK 1: SURGICAL AI
Session 1A: Setting the stage
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What is surgical AI in 2026
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Preoperative applications
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Real-time intra-operative applications
- Lena Maier Hein -
Post-operative applications
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Data quality
TRACK 2: TELESURGERY
Session 1B: Setting the stage
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What is telesurgery and what are the bottlenecks
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Current status of telesurgery
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Different robotic systems offering telesurgery
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Cost-cutting aspects of telesurgery
BREAK
Session 2A: Perception on surgical AI
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Computer vision surgical scene understanding - Anirban Mukhopadhyay
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Speech in the OR
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Multimodal computer vision - Stefanie Speidel
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The role of synthetic data and hyperspectral
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Augmented reality - Sharib Ali
Session 2B: Challenges for telesurgery
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Network reliability and the role of 6G
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Latency management and high resolution imaging
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The role of AI in telesurgery
LUNCH
Session 3A: Generative surgical AI
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Bridging the domain gap of surgery using general LLMs - François Remy
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Syntethic data generation - Dan Stoyanov
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VLMs
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Digital twins - Mathias Unberath
Session 3B: Ethical & regulatory challenges
​Moderation and discussion - Tom Goffin
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Obtaining a truthful informed consent
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Data security
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Liability and cross-border licensure
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Reimbursement policies
BREAK
Session 4A: Agentic Surgical AI
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What is agentic AI in surgery?
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Agent for EHR retrieval
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Agents for video analysis - Matthew Blaschko
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How to integrate all agents in real-time
Session 4B: Surgical training & teaching in the era of AI & telesurgery
Moderation and discussion - Alex Mottrie & Niki Rashidian
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How can AI & telesurgery accelerate skill aquisition? - Nader Francis
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Can we trust an AI teacher? - Simon Bach
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Role of vision language models in surgical teaching - Niki Rashidian
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Latency and teaching - how far can we go? - Alex Mottrie
Please note that the program is subject to change as we approach the event.
