AI-POD project is poised to revolutionize obesity-related CVD prediction and treatment

Applications of AI


Over four years, experts from a variety of disciplines, including radiology, computational imaging research, and industry, have collaborated to develop state-of-the-art image-based AI risk scores, clinical decision support systems (CDSS), and obesity-related A mobile app for personalized risk assessment and prediction of CVD and its associated complications.

Obesity is a pressing concern in Europe, affecting more than 436 million people and putting them at a 50% higher risk of dying from CVD. This epidemic costs the economy over €210 billion annually. Current risk assessment methods are inadequate in terms of accuracy and practical application. AI-POD aims to address these challenges by integrating clinical, laboratory and imaging data and transforming disease risk into actionable health information that can guide diagnostic procedures and treatment recommendations. I am aiming.

Professor Ulrike Attenberger, Head of the Department of Diagnostic and Interventional Radiology at the University Hospital Bonn (UKB), coordinator of the AI-POD project, expressed his enthusiasm.With AI-POD, we are pushing the boundaries of clinical insight in cardiovascular disease management in obese people. Our goal is to create trustworthy AI tools that not only support clinical decision-making, but also enable patients and at-risk people to better monitor and manage their own health. to develop. In doing so, we aim to significantly reduce morbidity and mortality among obese people while also having a positive impact on public health budgets.. ”

The AI-POD project has been validated at six clinical sites and aims to establish a long-term multidisciplinary platform for distributed learning in other vascular areas. This innovative project will also create an ethical framework for addressing potential concerns about new technologies and assessing their acceptability, social desirability and user satisfaction.

The AI-POD project is poised to revolutionize how we predict and manage obesity-related CVD, ultimately improving the health of millions of Europeans.

sauce:

University of Bonn



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