The escalating issue of obesity affects more than 436 million people across Europe, significantly increasing the risk of cardiovascular diseases (CVD) and placing substantial economic burdens on healthcare systems. Currently, accurately predicting individual CVD risk within the obese population remains a challenge. The AI-POD project seeks to revolutionize this aspect by developing advanced, AI-driven tools for risk prediction and clinical decision-making.

AI-POD integrates a variety of data, including clinical, laboratory, and imaging data, and translates this into actionable health information. This helps guide diagnostic procedures and treatment recommendations, ultimately aiming to reduce CVD-related deaths in Europe.

Two main outcomes of the AI-POD project include a cutting-edge AI-based risk score and Clinical Decision Support System (CDSS) for assessing and predicting obesity-related CVD risks. Additionally, the project offers an innovative mobile app for citizens. This Citizen App interacts with the CDSS, empowering individuals to monitor and manage their health more effectively.

By streamlining physician workflows and enabling patients to play an active role in their health management, AI-POD aims to unburden public health budgets and enhance the overall quality of care for obese individuals at risk of cardiovascular diseases.

To keep up-to-date with the latest project developments follow AI-POD on Twitter using #aipod, and visit the project

Facts and figures

Coordinator: Universitätsklinikum Bonn (UKB)
Number of Partners: 11
Start Date: May 1, 2023
End Date: April 30, 2027
Total Funding: € 5 298 740.00

The AI-POD project receives funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101080302. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them.