Our talk at #ECR2025 was a massive hit, and it's already sparking great conversations! ?? Whether you're eager to stay ahead of industry trends or looking for fresh perspectives, this session has everything you need! ?? ?? Don’t miss the chance to watch the full replay and dive into the conversation! ?? https://lnkd.in/dr8StnnY #HorizonEU #EUfunded #AI #DecisionMaking
AI-POD Project
研究服务
AI-driven solutions for CVD risk prediction in obesity. Boosting diagnostics, enhancing treatments, saving lives.
关于我们
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. 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.
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ai-pod.eu
AI-POD Project的外部链接
- 所属行业
- 研究服务
- 规模
- 11-50 人
动态
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?? What's your take on using #AI tools to predict obesity-related cardiovascular diseases? ?? ?? AI-POD is developing #trustworthy AI tools to predict cardiovascular risk in individuals with obesity ???? ?? We're seeking participants for a 5-10 minute online survey to share their views: ?? Individuals living with or at risk of obesity: https://lnkd.in/dzrF4Kyt ?? Healthcare professionals working on obesity-related conditions: https://lnkd.in/dddJesuq ?? Available in Dutch, English, French, German, and Czech! Please share with your network! ?? Centre for Biomedical Ethics and Law - KU Leuven KU Leuven - Department of Public Health and Primary Care European Society of Radiology #HorizonEU #EUfunded #Participate
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?? We are proud to announce that Christian Loewe, Head of the Division of Cardiovascular and Interventional Radiology at Medical University of Vienna′s Department of Radiology and Nuclear Medicine, has been appointed as the new Educational and Scientific Director of the European School of Radiology (ESOR) at the European Congress of Radiology in Vienna ?? This new role further highlights Christian's dedication to advancing radiology education and research, and we are excited for the positive influence he will continue to bring to our project and the wider radiology community ?? ?? Read more about it here: https://lnkd.in/dXC7PBVY #HorizonEU #EUfunded
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?? Exciting times ahead! The upcoming consortium meeting for the AI-POD Project is just around the corner, and we’re thrilled to be gathering in Vienna! ? This meeting represents an important moment for aligning our efforts, reviewing progress, and setting the stage for the next phase of the project ?? Looking forward to the discussions and outcomes that will help drive us forward ?? #HorizonEU #EUfunded #Consortium
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??? At #ECR2025, EIBIR showcased cutting-edge AI advancements in medical imaging through the Pixel Pandemonium event. Highlighting EU-funded projects like the AI-POD Project and the European Federation for Cancer Images (EUCAIM) Project, EIBIR is bridging research and real-world healthcare applications ?? ?? Prof. Georg Langs, lead of EIBIR’s AI in Medical Imaging Joint Initiative, shared insights on how EIBIR supports AI research, secures European funding, and identifies transformative projects for radiology! ? ?? Watch the full interview here: https://lnkd.in/d4wm58ia #StudioSession #MedicalImaging #JointInitiative #PixelPandemonium
EIBIR Studio Session: Driving Innovation in AI for Medical Imaging, the Pixel Pandemonium and EIBIR
https://www.youtube.com/
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?? At #ECR2025, we showcased how #AI is transforming clinical decision-making, enhancing diagnostic precision, streamlining workflows, and ultimately improving patient care ?? ? Want to learn more about the impact we made? Check out our latest news article for a deeper look at our presentation and the groundbreaking advancements we shared! ?? ?? Read more about it here: https://lnkd.in/dd-9WmA6 #HorizonEU #EUfunded #ECR2025
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?? At #ECR2025, we proudly demonstrated how #AI is revolutionizing clinical decision-making, driving improvements in diagnostic accuracy, optimizing workflows, and ultimately elevating patient care ?? ? Explore our latest news article below for an in-depth look at our presentation and discover what made it so impactful! ?? ?? Read more about it here: https://lnkd.in/dd-9WmA6 #HorizonEU #EUfunded #ECR2025
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Great to see many AI-POD partners at #ECR2025! Georg Langs Ben Glocker Univ.- Prof. Dr. med. Wiebke Fenske Anastasia Bartashova Katharina Krischak #HorizonEU #EUfunded
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?? AI-POD at #ECR2025: We just finished a successful session on harnessing #AI for clinical decision making hosted by The European Institute for Biomedical Imaging Research (EIBIR) ?? #EUfunded #HorizonEU
?? An insightful session at #ECR2025 on harnessing #AI for #ClinicalDecisionMaking Key learnings included: ??AI-POD Project Univ.- Prof. Dr. med. Wiebke Fenske highlighted the high prevalence of obesity and its association with an increased risk for cardiovascular disease (CVD), which sets the scene for the AI-POD project. She explained that the novel approach of AI-POD is to predict individual obesity-related CVD risk using AI tools also integrating real-life monitoring in risk assessment. Ben Glocker provided a deep dive into the development of the AI-POD risk score. AI-POD is looking at extending existing tools working on capturing segmentation uncertainty and developing novel ML approaches. These developments will feed into the AI-POD risk score. ??ODELIA Project Alexandra Athanasiou underlined the clinical need for AI tools in breast cancer MRI due to high variability in MRI to improve detection, e.g. of small lesions in dense breasts, and reduce the number of false positives. To achieve this, ODELIA will include 45k MRI cases, which will be the largest data set of its kind currently available for AI training, which are shared in a decentralized manner within the project. Adrià Marcos Morales explained the deep learning approach for addressing the high variability of MRI images pointing out that deep learning outperforms classical statistical and machine learning methods. ODELIA avoids data privacy concerns by employing a federated learning and #SwarmLearnign approach, where the model travels but the data remains within the hospital. SL data has been proven to work equally well as centralized data for AI model training. ODELIA is working to establish and implement an open access Swarm Learning network enabling collaborative AI training enabling advancement in MR breast imaging. ??RadioVal Karim Lekadir presented the FUTURE-AI guideline for building trustworthy AI tools in healthcare. He shared that according to a survey of clinicians on the use of AI, over 70% indicated that they have not used AI tools. In the paper, characteristics of trustworthy AI and best practices for operationalization have been identified. Multi-stakeholder engagement is a prerequisite and AI evaluation needs to be multi-faceted. Trustworthiness is a continuous process. Ioanna Tsakou underlines the importance of AI traceability. She reported on the AI Passport developed by RadioVal. It is a mechanism and web-based tool that supports standardised descriptions and AI traceability. It collects traces related to data(sets), the AI model/tool, evaluation, usage and maintenance of the tool allowing for comprehensive monitoring of AI tools. It is adaptable to support any other medical AI tool. This supports trustworthiness and provides input to quality control and auditing. Importantly, it builds trust in AI tools. A huge thank you to Regina Beets-Tan, MD, PhD for leading through the session and to all the speakers for sharing their expertise! #HorizonEU #EUfunded
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?? Our WP3 Leader Georg Langs was interviewed today at #ECR2025 also highlighting the developments of AI-POD! Watch the recording here for free: https://lnkd.in/dmn78s8C #HorizonEU #EUfunded
???? Live now! Check out the interview with Georg Langs on our joint initiative in AI for medical imaging - and of course the Pixel Pandemonium! Click here to watch: https://lnkd.in/dmn78s8C
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