Project description
Advanced robotics for optimised orthopaedic surgery
The aging of the population has increased the demand for orthopaedic surgery. However, orthopaedic surgical techniques have remained unchanged for decades, resulting in procedures without technological assistance in 95 % of cases. Surgical procedures depend on the experience of the surgeon and are cumbersome and costly. Moreover, conventional instrumentation prevents data collection from the operating room (OR). The EIC-funded Ganymed project proposes the first compact, ergonomic, intuitive, and cost-effective robotic device, which supports surgeons to perform more precise and safer joint-replacement procedures. The robot introduces computer vision-driven intelligence and perception into the OR, allowing contactless localisation of the patient’s anatomy and opening the way for a data-driven OR.
Objective
Driven by a growing and aging population, demand for orthopaedic surgery is rapidly increasing. Orthopaedic surgical techniques, however, have not changed in decades and 95% of procedures are performed without technological assistance. This means that the length and outcome of a procedure is entirely dependent on the experience of the surgeon. Surgical procedures are cumbersome and costly, with conventional instrumentation providing no means to collect data from the operating room (OR) to optimise procedures or facilitate patient-specific surgical planning.
Ganymed is re-tooling orthopaedics with the next generation of surgical robotics. Our product is the first compact, ergonomic, intuitive, and cost-effective device, supporting surgeons to perform more precise and safer joint-replacement procedures. The robot introduces computer vision-driven intelligence and perception into the OR, enabling contactless localisation of the patient’s anatomy and paving the way for a data-driven OR.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicineanatomy and morphology
- medical and health sciencesclinical medicinesurgerysurgical procedures
- medical and health sciencesclinical medicineorthopaedics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Programme(s)
Funding Scheme
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended FinanceCoordinator
75014 Paris
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.