Revolution in rheumatology: AI improves arthritis diagnosis!
Revolution in rheumatology: AI improves arthritis diagnosis!
A groundbreaking project to improve diagnostics in arthritis patients takes shape! Every year, millions of image data are produced in the EU by X -rays, ultrasound and magnetic resonance imaging. The Autopix consortium, supported by the European Union and industry with 21 million euros, has set itself the goal of converting these image data into useful biomarkers with the help of artificial intelligence. This information was presented at the Medical University of Vienna on Wednesday and promise revolutionary changes in patient care.
innovative approaches to patient care
The automated image analysis that converts unstructured data into quantifiable biomarkers is central to the Autopix project. This could be crucial for the diagnosis, therapy monitoring and prediction, such as meduniwien.ac.at In addition, the use of mobile applications enables the remote monitoring of the patients, which means that photos or videos can be sent directly to the clinics. New imaging methods should replace invasive tissue diagnoses and thus make the treatment less stressful for patients. According to Daniel Aletaha, the coordinator of Autopix, it is important to improve access to special techniques such as ultrasound outside of reference centers.The project comes from a collaboration between 17 partners from the EU, Switzerland and the USA, including academic institutions as well as Medtech and Pharmaceutical Companies. With the Autopix project, a comprehensive network is available that brings together worldwide leading experts to optimize imaging in rheumatology. Xenophone Baraliacos, medical director at the University Hospital Ruhr University Bochum, emphasizes that Autopix offers the opportunity to improve existing approaches and create a complete image of the diseases in order to develop targeted therapy recommendations for individual patients. In the future, these innovative procedures should also be accessible to the patients themselves: "The imaging is not only technically supported, but also by the patients themselves in order to recognize disease characteristics such as swelling at an early stage," emphasizes Thomas Hügle, head of rheumatology at the University Hospital Lausanne.
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| Ort | MedUni Wien, Österreich |
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