AVATAR

Photorealistic XR viewer enhancing 3D medical image interpretation for improved surgical decisions

Surgeons rely on medical images to make critical decisions. Poorly interpreted MRIs and CT scans can result in unnecessary surgeries, more invasive procedures and slower recoveries.

The ERC-funded AVATAR project introduces a revolutionary surgical solution as a highly effective productivity tool for medical specialists and surgeons. It features the first-ever photorealistic XR viewer of 3D medical images, powered by advanced machine learning algorithms and data visualisation techniques. The project aims to improve medical decision-making without investing in new equipment or personnel. Thanks to high-fidelity local or cloud-based rendering, the solution is the first to seamlessly integrate preoperative and intraoperative data, while clinical applications guide surgeons in planning and implementing specific procedures.