AutoPIX
AutoPiX is a project led by the Division of Rheumatology connecting imaging and AI to improve the care of patients with arthritis. It will develop novel technologiy in automated image analysis, therapy monitoring and prediciton, and the creation of foundation models to boost science and care in the area of arthritis.
CIR Team: Clemens Watzenböck, Philipp Seeböck, Pamela Zolda, Georg Langs
Rheumatology Team: Daniel Aletaha, Peter Mandl, Daniela Sieghart
Project Summary
The AutoPiX consortium aims to address critical unmet medical needs in imaging in rheumatology. These include limited access to specific techniques, such as ultrasound outside reference centres and hospitals, and precision gaps in selecting the most suitable treatments for arthritis. AI-supported imaging biomarkers could enhance precision medicine and early diagnosis and enable accessible narratives for clinicians and patients. In the words of AutoPiX Coordinator Prof. Daniel Aletaha from the Medical University of Vienna, “We will bring imaging closer to the practising clinician and the patient, ensuring that it becomes more accessible, interpretable, and clinically relevant for disease management that requires high levels of expertise”.
AutoPIX Project Webpage: https://www.autopix-project.eu
Image: MedUni Wien/Georg Langs