Imagine a surgeon trying to remove a tiny tumor in the throat, but they can't see the exact edges of the cancer. This project creates a 'smart' robotic assistant that acts like a high-tech GPS and steady hand. It uses AI to spot cancer cells instantly and 3D glasses to show the surgeon exactly where to cut, making the process safer and more precise.
ENT surgeons currently operate on throat cancers with incomplete knowledge of tumor geometry and poor ergonomics. This leads to limited precision on fragile tissue and higher risks for patients.
Two integrated systems: one for real-time AI-powered diagnosis (optical/electric biopsies) and one for robotic surgery featuring 3D visualization and stabilizing tools.
If you are a surgical robotics manufacturer dealing with the difficulty of operating in narrow anatomical spaces — this project developed robotic stabilizing tools that allow for unprecedented levels of precision in tissue removal. This enables the creation of specialized tools for ENT surgery.
If you are an AI diagnostic software developer dealing with the slow pace of traditional biopsies — this project developed AI-powered optical and electric biopsies for real-time, on-the-spot diagnosis. This reduces the time between detection and surgical treatment.
If you are a hospital equipment integrator dealing with laggy video feeds in the operating room — this project developed the Nexxis platform adaptation for lossless and low latency distribution of images. This ensures surgeons see real-time 3D visualizations without delay.
Based on available project data, the specific cost or pricing for the system is not provided.
The project aims to translate research prototypes into two advanced integrated systems for diagnosis and surgery, validated through 3 clinical studies to establish a new standard of care.
Based on available project data, the specific IP or licensing terms are not mentioned, though the project involves 14 partners including 5 industry members.
It integrates via the Nexxis platform for low latency video distribution and provides intuitive 3D visualization to simplify the surgical scene for clinicians.
The project period runs from 2024-07-01 to 2028-06-30, suggesting the final validated prototypes will be ready by mid-2028.
The consortium is well-balanced for commercialization, featuring a 36% industry ratio with 5 industrial partners, including 3 SMEs. With 14 partners across 6 countries (AT, BE, DK, ES, IE, IT), the project combines academic research from 5 universities and 3 research centers with practical clinical validation in 3 hospitals, ensuring a clear path from lab to clinic.
Contact Fondazione Istituto Italiano di Tecnologia regarding the AIRCARE project
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