Join the Conversation on How AI Is Transforming Vascular Health – CME accredited – REGISTER HERE Registration is now open for the upcoming AI-POD Webinar, a CME-accredited online event focused

A joint meeting between the Stakeholder Board and External Advisory Board was recently held to review the progress of the AI-based cardiovascular risk assessment project. The session provided an opportunity

Exploring AI Innovations in Predicting and Preventing Obesity-Related Vascular Disease  7 October 2025, 09:00 – 10:30 CEST / CME accredited This webinar will explore how artificial intelligence is revolutionising the

The AI-POD consortium has officially launched the second edition of its project newsletter, offering a comprehensive update on its ongoing mission to revolutionise obesity-related disease prediction for cardiovascular conditions. This

The AI-POD project is inviting individuals and healthcare professionals to participate in a short online survey exploring the use of AI tools to predict obesity-related cardiovascular diseases. As part of

The AI-POD consortium convened in Vienna for its third in-person meeting, bringing together partners from across Europe to review progress, share insights, and align on upcoming priorities. Hosted by the

The AI-POD Project is gearing up for an exciting and important milestone as it prepares for its upcoming consortium meeting in Vienna. The event will bring together key project partners

AI-POD project was featured at the European Congress of Radiology (ECR) 2025, showcasing the transformative potential of  AI in clinical decision-making. The project was presented as part of the session

The AI-POD Project aims to develop trustworthy AI tools to predict the risk of cardiovascular diseases in individuals living with obesity. To ensure the responsible development of these tools, we

The groundbreaking project AI-POD will be showcased at the European Congress of Radiology (ECR) 2025 in the session titled “Intelligence at Work: Harnessing Artificial Intelligence (AI) for Clinical Decision-Making.” This

On October 10th, 2024, the project team held a pivotal meeting with the External Advisory Board (EAB) to present several important updates and foster collaborative discussions on the project’s ongoing

Ulrike Attenberger took up the Professorship of Radiology (§98) at the Medical University of Vienna on July 15, 2024. At the same time, she took over as Head of the

AI-POD has been announced that our project has been highlighted on the European Society of Radiology’s Patients Page. This recognition is a significant milestone for our team, dedicated to revolutionising

At the AI-POD Project, we are on a mission to revolutionise the way we approach cardiovascular disease (CVD) prevention. Over the past year, our team of dedicated researchers and clinicians

AI-POD is a transformative initiative set out to revolutionise obesity-related disease prediction for cardiovascular disease. The mission of AI-POD is to significantly improve the risk assessment and management of obesity-related

AI-POD was featured at the European Congress of Radiology 2024 (28 February – 3 March 2024, Vienna). The open-access EIBIR session on Trustworthy AI tools for the prediction of obesity-related

On 27 February 2024, the AI-POD consortium and External Advisory Board convened at the Austria Centre Vienna for their annual consortium meeting, which was held as a hybrid session. The

AI-POD will be featured at the European Congress of Radiology 2024. AI-POD Coordinator Ulrike Attenberger and WP3 Lead Georg Langs will speak on “AI-POD: trustworthy AI tools for the prediction

AI-POD is excited to share a new project video highlighting our project’s objective to transform cardiovascular health. This video introduces our innovative AI-based risk score, designed to predict and prevent

May 22, 2023 – A groundbreaking EU-funded project, AI-POD, has been launched by a consortium of 11 partners from eight countries, with the ambitious goal of reducing cardiovascular disease (CVD)