The NVIDIA MedTech Meetup 2025 brought together experts from across the MedTech and technology ecosystem to discuss recent developments and future directions in artificial intelligence. As this year’s host, Balgrist University Hospital and the OR-X actively contributed to an event designed to strengthen collaboration between medicine, research, and industry.
The discussions made clear that while AI is already transforming many sectors, its integration into healthcare brings specific opportunities and challenges. Exchange between clinicians, MedTech specialists, and technology experts is therefore essential to translate innovation into clinical value.
This became tangible through three key themes showcased at the meetup: augmented surgical vision, real-time surgical AI, and physical AI applied to simulation and robotics. Live demonstrations illustrated how these approaches can enhance surgical workflows and address real-world implementation challenges.
Within the real-time surgical AI track, our research team presented a live demonstration on integrating multimodal data streams in the operating room. It showed how different surgical devices can be connected via a unified data hub. As today’s operating rooms often rely on heterogeneous systems that function independently, data is frequently fragmented and difficult to access in real time. The demonstrated approach addressed this challenge by enabling unified data acquisition, real-time device communication, and synchronized data streams, resulting in a clearer and more comprehensive intraoperative overview.