Imagine if your doctor could use a smart app to turn a blurry X-ray into a precise digital score, just like a blood test. It also creates robotic ultrasound tools so you don't have to wait for a rare specialist to get a scan. This makes tracking joint inflammation faster and more accurate for everyone.
Medical imaging for arthritis lacks precise, unbiased analysis tools, making diagnosis and monitoring subjective. Additionally, a shortage of qualified staff makes advanced imaging like ultrasound inaccessible to many patients.
AI/ML tools to convert images into quantitative biomarkers and robotic-assisted ultrasound systems for remote point-of-care exams.
If you are an AI Diagnostics Developer dealing with unstructured medical images that are hard to quantify — this project developed AI and machine learning tools that transform images into quantitative biomarkers. This allows for unbiased and precise scoring for diagnosis and prognosis.
If you are a Robotics Company dealing with the shortage of qualified ultrasound technicians — this project developed robotic-assisted point-of-care ultrasound exams. This enables remote monitoring and standardizes imaging in real-world settings.
If you are a Private Rheumatology Clinic dealing with long patient wait times for imaging — this project developed accessible imaging strategies and remote monitoring. This shortens treatment paths and improves the assessment of treatment response.
Based on available project data, no specific pricing or cost information is provided.
The project involves 12 industry partners and 6 SMEs, suggesting a strong focus on industrial scalability and real-world application.
Based on available project data, the specific IP and licensing terms are not disclosed, though it is a public-private partnership.
The project has established a secure data infrastructure that complies with GDPR.
The project period runs from 2024-11-01 to 2029-10-31, indicating a multi-year development and validation cycle.
The consortium is heavily weighted toward commercialization, with a 60% industry ratio comprising 12 companies, including 6 SMEs. This high level of private sector involvement, combined with 20 partners across 10 countries, indicates a strong drive to move from academic research to market-ready medical tools.
Contact the Medical University of Vienna (Medizinische Universitaet Wien)
Contact us to explore licensing opportunities with the AutoPiX industry partners.
