Exploring AI Innovations in Predicting and Preventing Obesity-Related Vascular Disease | 7 October 2025, 09:00 – 10:30 CEST / CME accredited
As part of the EIBIR Webinar Series, and in Collaboration with the European Society of Radiology, the AI-POD Project is pleased to announce a dedicated end-user webinar taking place on 7 October 2025, focusing on the transformative role of artificial intelligence in predicting and preventing obesity-related vascular diseases.
Titled “Exploring AI Innovations in Predicting and Preventing Obesity-Related Vascular Disease,” the webinar will spotlight the latest developments within the AI-POD project – an initiative aimed at advancing trustworthy, AI-powered tools to support cardiovascular risk management and preventative care.
Programme Highlights
The session will offer attendees a comprehensive overview of AI-POD’s groundbreaking work through the following presentations:
Trustworthy AI for a Healthier Future – Introducing the goals and scope of the AI-POD project – U. Attenberger, Medical University of Vienna, Austria
Behind the Score – Exploring the development of the AI-POD Risk Prediction Algorithm – G. Langs, University of Vienna, Austria
Building Smarter Tools – Demonstrating the AI-POD Clinical Decision Support System (CDSS) for healthcare professionals – J. Kirchhoff, medicalvalues GmbH, Germany
The AI-POD Citizen App – Showcasing key features and how it empowers individuals to monitor and manage their vascular health – F. Catarinella, Brightfish B.V, Netherlands.
From Prediction to Prevention – Insights into how AI-POD’s innovations facilitate proactive risk reduction – S. Al-Basri, BG University Hospital Bergmannsheil Bochum, Germany
Human-Centred AI – A stakeholder perspective on designing AI for real-world healthcare use – E. Van Steijvoort, Katholieke Universiteit Leuven, Belgium
Panel Discussion – A lively dialogue on integrating AI-POD into clinical workflows, examining both opportunities and practical challenges – R. Beets Tan, The Netherlands Cancer Institute, Netherlands
This event is ideal for clinicians, researchers, digital health developers, and policy stakeholders interested in how AI is reshaping healthcare delivery and disease prevention.
Further details, including registration information, is available here!
