?? Pixel Pandemonium at #ECR2025 is where AI and machine learning innovation meets radiology. We are inviting submissions from academia and industry to showcase cutting-edge demos that have the potential to shape the future of healthcare ?? No products, just cutting-edge tech! Demos can feature software, robots, or a combination of hardware and software. Selected applications will receive FREE registration for ECR 2025! ?? ?? More details and key dates: eibir.org/pixelpandemonium ?? Submit by December 13th! European Society of Radiology | MICCAI Society
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.
- 网站
-
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
-
?? Continuing our introduction of sister projects funded under the HORIZON-HLTH-2022-STAYHLTH-01-04 call, next is the "Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases (AI-POD)"?project. The AI-POD Project 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 Project aims to empower clinicians and patients alike, shaping treatment strategies, and driving the evidence-based healthcare innovation. Learn more here: https://ai-pod.eu/ Stay tuned for more updates on our sister projects! #HorizonEurope #ArtificialIntelligence #Healthtech #DigitalHealth
-
?? Get all the latest research, news, and updates from the AI-POD Project straight to your inbox! ?? Sign up for our #newsletter and join the conversation on revolutionising obesity-related disease prediction for #cardiovascular disease ?? ?? https://ai-pod.eu/ Simply go to our website and scroll down to the bottom to find the sign-up box! ?? #HorizonEU #EUfunded #Subscribe
AI-POD: Transforming Obesity-related Risk Prediction with Trustworthy AI
https://ai-pod.eu
-
???Watch Georg Langs from Medical University of Vienna as he reflects on the valuable collaboration with EIBIR in the AI-POD Project ?? EIBIR's support in project coordination and dissemination has played a key role in the project’s success, helping it reach a wider audience and encouraging interest within the scientific and medical communities ?? A heartfel thank you to Prof. Georg Langs for sharing his insights into collaborating with EIBIR! ?? #StoriesOfCollaborativeSuccess
-
?? Have you submitted your application yet? If selected, you can receive a free registration for #ECR2025! All the information on Pixel Pandemonium in the post below ??
?? Calling innovators in AI and medical imaging! Pixel Pandemonium at #ECR2025 is accepting cutting-edge technology demos from academia & industry! ?? Showcase your work and receive free registration for ECR 2025 if selected. Join us in shaping the future of healthcare ?? For all the information and application form ?? https://lnkd.in/eWsv3jYZ #AI #ML #Healthcare #MedTech #Radiology European Society of Radiology | MICCAI Society
-
?? Pixel Pandemonium at #ECR2025 is your chance to showcase cutting-edge AI/ML innovations in medical imaging! We are looking for groundbreaking demos from both academia and industry. ?? Selected applications will receive free registration for #ECR2025. Don't miss out—apply now! ?? https://lnkd.in/eWsv3jYZ European Society of Radiology | MICCAI Society #AI #MachineLearning #MedTech #Innovation #Healthcare
-
?? With advanced #AI risk prediction, a Clinical Decision Support System, and a Citizen App, AI-POD aims to empower clinicians and individuals alike ?? Discover how we are reshaping the standard of care for obesity-related diseases: www.ai-pod.eu ???? Stay tuned for updates! ?? Universit?tsklinikum Bonn The European Institute for Biomedical Imaging Research (EIBIR) Medical University of Vienna Collective Minds Radiology University Hospital in Pilsen Charles University Universit?tsmedizin Mannheim KU Leuven medicalvalues GmbH Brightfish Universit?tsspital Zürich Imperial College London #HorizonEU #EUfunded #Innovation
-
We’re proud to introduce our next consortium partner,?medicalvalues GmbH! ? They will integrate symptoms, pre-existing conditions, laboratory parameters, imaging results, anthropometric and physical metrics, and lifestyle factors linked to an elevated risk of cardiovascular disease (CVD) into risk determination through the use of #validated #medical #algorithms ?? ?? For more informaton: https://lnkd.in/dvaFkWMm #HorizonEU #EUfunded #Collaboration
-
On October 10th, 2024, the AI-POD Project team met with the External Advisory Board (EAB) to review key updates and discuss the project's progress ???? The agenda covered: ? Project Progress Overview ? AI-POD Study Update ? Technical Developments ? Ethical Considerations ? EAB Recommendations ?? For more information, visit: https://lnkd.in/dam99s4n EAB feedback will be crucial in shaping the next stages, ensuring the project aligns with both scientific and societal goals ?? #HorizonEU #EUfunded #EAB
Discussions and Project Updates from the External Advisory Board Online Meeting
https://ai-pod.eu
-
?? Have you developed a cutting-edge AI/ML demo for medical imaging? We want to see it at Pixel Pandemonium, an initiative by European Society of Radiology and #EIBIR for #ECR2025! ?? This platform connects the AI/ML and radiology communities to foster collaboration and innovation. Submit your application by December 13th, 2024 ?? https://lnkd.in/eWsv3jYZ #Radiology #AI #Medicalimaging