Imagine a smart assistant for surgeons that uses a camera to 'see' a patient's bone structure without needing to touch it. It replaces old-fashioned manual tools with a compact robot that guides the surgeon with extreme precision. This makes knee replacements faster and more consistent, regardless of the surgeon's individual experience level.
Orthopaedic surgery relies on outdated manual techniques, leading to high surgeon-dependency and a 20% patient dissatisfaction rate. Current tools lack data collection capabilities, making surgical planning inefficient and costly.
A compact, ergonomic surgical robot using computer vision for contactless patient anatomy localisation and data collection in the operating room.
If you are a surgical robotics developer dealing with bulky and expensive equipment — this project developed a compact, ergonomic, and cost-effective device that enables contactless anatomy localisation. This allows for a more intuitive user experience in the operating room.
If you are a private orthopaedic clinic dealing with a 20% patient dissatisfaction rate in manual knee replacements — this project developed a computer vision-driven robot that makes procedures safer and more precise. This reduces the likelihood of costly revisions and infections.
If you are a digital health platform provider dealing with a lack of real-time data from the operating room — this project developed a data-driven OR approach using robotic perception. This enables the collection of surgical data to optimize patient-specific planning.
Based on available project data, the specific price is not mentioned, but the device is explicitly described as being designed to be cost-effective compared to conventional instrumentation.
The project has scaled its internal team from 23 to 41 FTEs and hired specialized VPs for Quality, Regulatory, and Marketing to prepare for market entry.
The project included a dedicated work package (WP1) specifically for IP management to protect the technology's commercial value.
It is designed as a compact and intuitive device that introduces computer vision into the OR for contactless localisation, reducing the need for cumbersome manual instrumentation.
The company has hired a VP of Quality & Regulatory with a proven track record of bringing medical devices to market.
The project is led by a single French SME, Ganymed Robotics. The 100% industry ratio indicates a highly commercial-driven approach, focusing on rapid product development rather than academic research. The company significantly expanded its human capital during the project, growing from 23 to 41 full-time employees to bridge the gap between technical development and market launch.
Contact Ganymed Robotics in France
Contact us to explore licensing opportunities for computer vision in orthopaedics.
