Imagine being able to step inside a patient's body using a high-tech headset before the first cut is made. Instead of squinting at flat 2D scans, surgeons can see a lifelike 3D map where they can toggle organs or blood vessels on and off. It's like having a GPS for the human body that helps doctors find the exact path to a tumor or artery.
Surgeons often struggle to interpret 2D medical images, leading to overly invasive procedures and inefficient surgical planning. This gap in visualization reduces hospital productivity and increases patient risk.
A photorealistic Extended Reality (XR) viewer for 3D medical images (MRI, CT) powered by machine learning algorithms for real-time patient representation modification.
If you are a software provider dealing with the limitations of 2D MRI and CT interpretations — this project developed a photorealistic XR viewer that allows surgeons to modify patient representations in real-time for better decision making.
If you are a clinic dealing with growing demand for surgery and limited operating room time — this project developed a productivity tool that streamlines preoperative planning to increase hospital productivity without needing new personnel.
If you are a manufacturer dealing with imprecise implant fitting due to poor imaging — this project developed a 3D avatar system that visualizes muscles and bones to allow better planning of orthopedic surgeries.
Based on available project data, specific pricing is not mentioned, but the solution is designed to provide productivity gains without requiring hospitals to invest in new equipment.
Yes, the system supports high-fidelity local or Cloud-based render streaming, which facilitates deployment across different medical facilities.
Based on available project data, the project utilizes breakthrough human-in-the-loop machine learning algorithms, but specific licensing terms are not disclosed.
The solution integrates preoperative and intraoperative data, allowing surgeons to use MRI and CT-scans within a photorealistic XR environment.
The project period runs from 2023-06-01 to 2025-08-31, suggesting the solution is currently in the development and refinement phase.
The project is led by a single SME, AVATAR MEDICAL, based in France. With a 100% industry ratio and a total EU contribution of EUR 2,492,262, the project is lean and commercially driven, focusing on direct market application rather than academic research.
Contact AVATAR MEDICAL in France for licensing and partnership inquiries.
Contact us to explore integration of XR visualization into your surgical workflow.
