Discussions and Project Updates from the External Advisory Board Online Meeting
October 10, 2024
On October 10th, 2024, the project team held a pivotal meeting with the External Advisory Board (EAB) to present several
AI-POD is a transformative initiative set out to revolutionise obesity-related disease prediction for cardiovascular disease. By developing a novel, trustworthy AI-based risk score, and tools for clinical decision support, AI-POD aims to empower clinicians and patients alike, shaping treatment strategies, and driving the evidence-based healthcare innovation.
Develop and validate a trustworthy AI-based risk score, integrating multidisciplinary parameters to accurately predict obesity-related CVD risks and complications for both clinicians and European citizens.
Implement a Clinical Decision Support System (CDSS) delivering the AI-POD risk score, providing health professionals with an AI tool to support prevention and management of obesity.
Design an AI-POD Citizen App for obese individuals to monitor their health and lifestyle, promoting self-management and providing additional input data for the AI-POD risk score prediction model.
Establish the first European network for cutting-edge CT technology, integrating high-end imaging, lab parameters, and clinical data to predict indicators for obesity-related CVD risks.
Conduct a multi-center proof-of-concept study to evaluate the performance of the AI-POD risk prediction score, CDSS, and Citizen App against current risk scores and guidelines.
Undertake a nuanced ethical analysis and stakeholder engagement process to ensure the AI-based risk prediction score and its implementation are fair, transparent, and morally permissible
On October 10th, 2024, the project team held a pivotal meeting with the External Advisory Board (EAB) to present several
Ulrike Attenberger took up the Professorship of Radiology (§98) at the Medical University of Vienna on July 15, 2024. At
AI-POD is a transformative initiative set out to revolutionise obesity-related disease prediction for cardiovascular disease. By developing a novel, trustworthy AI-based risk score, and tools for clinical decision support, AI-POD aims to empower clinicians and patients alike, shaping treatment strategies, and driving the evidence-based healthcare innovation.
The AI-POD project unfolds its innovation across eight dynamic Work Packages over four years. Each Work Package is carefully designed to ensure seamless collaboration, from data access and optimized protocol development, to the creation of an AI-driven risk score and a comprehensive clinical decision support system.
We also prioritize exploring ethical implications and real-world validation of our solutions.
Wrapping up our journey, we focus on proactive dissemination of results and diligent project management.
This modular yet interconnected approach sets the stage for a significantly improved healthcare solution.
Dive deeper into each WP and see how we bring our vision to life!
AI-POD is a pioneering initiative that leverages Artificial Intelligence to combat obesity-related cardiovascular diseases, offering personalized treatment solutions and aiming to revolutionize healthcare by enhancing efficiency, patient autonomy, and cost-effectiveness.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement 101080302, and from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 23.00174.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Health and Digital Executive Agency (HADEA) or the Swiss State Secretariat for Education, Research and Innovation (SERI). Neither the European Union, SERI nor the granting authority can be held responsible for them.