AVATAR: Difference between revisions
Created page with ""=== AVATAR Project === {| class='wikitable' style='margin:auto' |- ! CORDIS Reference !! Start date !! End date !! Coordinator |- | https://cordis.europa.eu/project/id/190147557 || 01/06/2023 || 31/05/2025 || AVATAR MEDICA / France |} === Project description === 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 proj..." |
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=== Project description === | === Project description === | ||
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." | 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." | ||
=== Project outputs === | |||
==== Publications ==== | |||
{| class="wikitable sortable" | |||
! Domain !! Type of output !! Title !! DOI URL | |||
|- | |||
| Education, Training & Serious Games || Peer reviewed articles || Using virtual reality to enhance anatomy education for pre-matriculation medical students: an assessment of learning outcomes using a new teaching modality || https://doi.org/10.1007/S44186-025-00345-X | |||
|- | |||
| Healthcare, Medicine & Accessibility || Other || Benefit of virtual reality during visceral artery aneurysms open and endovascular surgery planning || https://doi.org/10.1016/J.JVSCIT.2025.02.279 | |||
|- | |||
| Healthcare, Medicine & Accessibility || Other || Surgeon perspectives on a virtual reality platform for preoperative planning in complex bone sarcomas || https://doi.org/10.1016/S0972-978X(24)00340-4 | |||
|- | |||
| Healthcare, Medicine & Accessibility || Peer reviewed articles || Three-dimensional virtual reality in surgical planning for breast cancer with reconstruction || https://doi.org/10.1177/2050313X231179299 | |||
|- | |||
| Healthcare, Medicine & Accessibility || Peer reviewed articles || Fast-track virtual reality software to facilitate 3-dimensional reconstruction in congenital heart disease || https://doi.org/10.1093/ICVTS/IVAD087 | |||
|} | |||
Latest revision as of 13:38, 22 April 2026
"=== AVATAR Project ===
| CORDIS Reference | Start date | End date | Coordinator |
|---|---|---|---|
| https://cordis.europa.eu/project/id/190147557 | 01/06/2023 | 31/05/2025 | AVATAR MEDICA / France |
Project description
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."
Project outputs
Publications
| Domain | Type of output | Title | DOI URL |
|---|---|---|---|
| Education, Training & Serious Games | Peer reviewed articles | Using virtual reality to enhance anatomy education for pre-matriculation medical students: an assessment of learning outcomes using a new teaching modality | https://doi.org/10.1007/S44186-025-00345-X |
| Healthcare, Medicine & Accessibility | Other | Benefit of virtual reality during visceral artery aneurysms open and endovascular surgery planning | https://doi.org/10.1016/J.JVSCIT.2025.02.279 |
| Healthcare, Medicine & Accessibility | Other | Surgeon perspectives on a virtual reality platform for preoperative planning in complex bone sarcomas | https://doi.org/10.1016/S0972-978X(24)00340-4 |
| Healthcare, Medicine & Accessibility | Peer reviewed articles | Three-dimensional virtual reality in surgical planning for breast cancer with reconstruction | https://doi.org/10.1177/2050313X231179299 |
| Healthcare, Medicine & Accessibility | Peer reviewed articles | Fast-track virtual reality software to facilitate 3-dimensional reconstruction in congenital heart disease | https://doi.org/10.1093/ICVTS/IVAD087 |