📢 Save the Date: AI-POD Webinar on AI for Cardiovascular Risk & Prevention

Exploring AI Innovations in Predicting and Preventing Obesity-Related Vascular Disease | 7 October 2025, 09:00 – 10:30 CEST / CME accredited

As part of the EIBIR Webinar Series, and in Collaboration with the European Society of Radiology, the AI-POD Project is pleased to announce a dedicated end-user webinar taking place on 7 October 2025, focusing on the transformative role of artificial intelligence in predicting and preventing obesity-related vascular diseases.

Titled “Exploring AI Innovations in Predicting and Preventing Obesity-Related Vascular Disease,” the webinar will spotlight the latest developments within the AI-POD project – an initiative aimed at advancing trustworthy, AI-powered tools to support cardiovascular risk management and preventative care.

Programme Highlights

The session will offer attendees a comprehensive overview of AI-POD’s groundbreaking work through the following presentations:

Trustworthy AI for a Healthier Future – Introducing the goals and scope of the AI-POD project – U. Attenberger, Medical University of Vienna, Austria

Behind the Score – Exploring the development of the AI-POD Risk Prediction Algorithm – G. Langs, University of Vienna, Austria

Building Smarter Tools – Demonstrating the AI-POD Clinical Decision Support System (CDSS) for healthcare professionals – J. Kirchhoff, medicalvalues GmbH, Germany

The AI-POD Citizen App – Showcasing key features and how it empowers individuals to monitor and manage their vascular health – F. Catarinella, Brightfish B.V, Netherlands.

From Prediction to Prevention – Insights into how AI-POD’s innovations facilitate proactive risk reduction – S. Al-Basri, BG University Hospital Bergmannsheil Bochum, Germany

Human-Centred AI – A stakeholder perspective on designing AI for real-world healthcare use – E. Van Steijvoort, Katholieke Universiteit Leuven, Belgium

Panel Discussion – A lively dialogue on integrating AI-POD into clinical workflows, examining both opportunities and practical challenges – R. Beets Tan, The Netherlands Cancer Institute, Netherlands

This event is ideal for clinicians, researchers, digital health developers, and policy stakeholders interested in how AI is reshaping healthcare delivery and disease prevention.

Further details, including registration information, will be available soon.

EIBIR Welcomes the European Union’s New Life Sciences Strategy

On 2 July 2025, the European Commission published its EU Life Sciences Strategy, setting a bold vision to position the European Union as the world’s most attractive environment for life sciences innovation by 2030. The strategy reinforces the EU’s commitment to strengthening biomedical research, unlocking the potential of health data and AI, and building a competitive, sustainable, and resilient health ecosystem.

EIBIR fully welcomes this strategic direction and strongly supports the emphasis on research and innovation, data sharing, and cross-border collaboration. As a long-standing advocate and facilitator of biomedical imaging research in Europe, EIBIR is proud to be actively contributing to the EU’s goals—most notably through its coordination of EUCAIM (European Federation for Cancer Images).

Connecting the Strategy to Action: EIBIR’s Role in EUCAIM

EUCAIM, coordinated by EIBIR, is a flagship initiative under the European Cancer Imaging Initiative and a key component of the European Health Data Space. It brings together over 80 partners across Europe to develop a federated cancer imaging infrastructure that enables secure, interoperable, and ethically sound sharing of medical imaging data. The project advances the use of AI in cancer diagnosis and treatment, while directly supporting the strategic goals outlined in the Life Sciences Strategy.

Key Areas of Alignment:

  • Unlocking the power of data and AI in health research

  • Reinforcing EU research and innovation leadership in biomedical imaging

  • Building trust, infrastructure, and digital skills across healthcare systems

  • Accelerating innovation uptake and industrial competitiveness

Download the full strategy: EU Life Sciences Strategy (PDF)

For more on EIBIR’s work in data-driven cancer research and EUCAIM, visit our project page.

Call for Experts: Join the European Commission’s AI Scientific Panel

The European Commission is establishing a Scientific Panel of Independent Experts to support the implementation and enforcement of the AI Act — a key framework shaping Europe’s digital future.

This panel will bring together technical experts from diverse fields, with a particular interest in ensuring strong representation from the medical imaging community.

If you have expertise in artificial intelligence and medical imaging and wish to contribute to the responsible development and regulation of AI in healthcare, we encourage you to apply.

Applications are open until 14 September 2025.

Learn more and submit your application here:
Commission Seeks Experts for AI Scientific Panel

Together, we can help shape a trustworthy and effective AI landscape for healthcare in Europe.

 

 

European Webinar Unites Experts from RadioVal, ODELIA, and SHERPA to Advance AI in Clinical Decision-Making

A high-profile webinar titled “Harnessing AI for Clinical Decision-Making: Insights from Leading European Research Initiatives” brought together 230 participants from across the radiology and imaging fields yesterday. Organised by the European Society of Radiology (ESR) and the European Institute for Biomedical Imaging Research (EIBIR), the event showcased leading applications of artificial intelligence in medical imaging, with a focus on breast cancer diagnostics, interventional radiology, and data privacy.

The session was opened by EIBIR Scientific Coorinator, Prof. Regina Beets-Tan, Scientific Director of EIBIR, who introduced the webinar structure. The spotlight was on three major EU-funded initiatives – RadioVal, Odelia, and SHERPA – each demonstrating innovative approaches to AI-driven healthcare.

Oliver Diaz presented the RadioVal, which aims to develop and validate trustworthy AI models for breast cancer diagnosis and treatment planning using breast MRI and clinical data. He emphasised the Future-AI guidelines developed at the University of Barcelona and highlighted the importance of fairness, transparency, and explainability. The project includes eight international hospital partners and focuses on adaptability across diverse clinical settings.

Oliver Saldanha introduced ODELIA, a project leveraging swarm learning—a decentralised AI method that enables collaborative model training while maintaining patient data privacy. His talk highlighted promising early results in breast cancer diagnostics and demonstrated the value of privacy-preserving learning systems in healthcare.

Robert Hofsink presented the SHERPA, which aims to support decision-making and patient stratification in interventional radiology using AI and robotic assistance. The project addresses challenges such as clinician shortages and procedural complexity, with clinical trials planned across seven countries. SHERPA is funded by the Innovative Health Initiative and involves 16 partners from across Europe.

A dynamic panel discussion followed with audience questions submitted. Discussions centred on AI model performance, data requirements, and regulatory frameworks. All panellists emphasised the necessity of trustworthy, explainable, and clinically adaptable AI tools.

Prof. Beets-Tan concluded the event by reaffirming EIBIR’s commitment to supporting multi-centre AI research. She also announced plans for follow-up webinars to share further results and insights from the projects.

Explore the Future of AI in Medicine at the ODELIA Summer School 2025

The ODELIA Summer School is taking place this year with an exciting and intensive program exploring the powerful synergy between artificial intelligence and medicine. Taking place from September 16 to 18, 2025, and hosted by the Vall d’Hebron Institute of Oncology (VHIO) in Barcelona, Spain, the event promises to be a key opportunity for early career researchers eager to deepen their expertise in this rapidly evolving field.

This three-day programme will focus on cutting-edge topics such as privacy-preserving distributed learning, the integration of imaging in oncological workflows, and innovations in clinical trial design – highlighting how AI is transforming modern healthcare.

Highlights include keynote lectures by experts Daniel Truhn and Silvia Casacuberta, hands-on workshops, collaborative group work, and unique networking opportunities including a guided campus tour and tapas evening. Attendees will also enjoy a special visit to the historic Sant Pau Hospital.

Participation is free of charge, but registration is required by July 31, 2025. CME accreditation is currently in progress.

Join the future of AI in medicine – register now and be part of this transformative experience in Barcelona.

📍 Location: VHIO, C/ Saturnino Calleja 11-13, 08035, Barcelona, Spain
📅 Dates: September 16–18, 2025
🔗 [Download the detailed programme]
📝 [Register here before July 31, 2025]

Stay tuned for more updates!

📰 New Editorial Published: Empowering Imaging Research through EUCAIM

We are pleased to announce the publication of a new editorial:

“Empowering imaging research through the European Federation for Cancer Images (EUCAIM) repository: a new opportunity for ESR journals’ authors”
📅 Published on May 23, 2025 in European Radiology.

This editorial highlights the pivotal role of the EUCAIM repository in advancing cancer imaging research across Europe. It emphasizes how open science, data sharing, and AI-driven methodologies are transforming the research landscape, offering new possibilities for authors and researchers affiliated with ESR journals.

As part of our ongoing commitment to innovation in imaging and interventional radiology, EBIR is proud to support initiatives like EUCAIM that foster collaboration, interoperability, and scientific advancement.

🔗 Read the full article here:
https://link.springer.com/article/10.1007/s00330-025-11708-9

We thank all contributors for their valuable insights and encourage our community to explore this important work.

ODELIA Breast MRI Challenge 2025

Early breast cancer detection is paramount and MRI increasingly supplements mammography for high-risk or dense-breasted women. Reading large 3D volumes demands significant radiologist time and is a barrier to the use of MRI in screening. To accelerate the development of AI tools for earlier, more accurate breast cancer detection in MRI, the ODELIA consortium is running the ODELIA Breast MRI Challenge 2025.

A dataset of 500 Breast MRI studies will be released for competing teams to use to train their models. These well-curated studies have been brought together from six centres across the ODELIA consortium and therefore presents a heterogeneous dataset of containing MRI scans with different parameters, protocols, and hardware. This heterogeneity is important to the training of well-generalised models which will have the widest real-world application.

The ODELIA Breast MRI Challenge 2025 has been accepted as a MICCAI challenge and the results will be presented at as part of the Deep-Breath workshop on 23 September at the conference. Eligible challenge winners will be invited to present their work either in person or online during the event. It’s hoped that the challenge will also be a catalyst in the development of approaches and techniques which can be applied to the wider ODELIA project.

For more information on the challenge, visit https://odelia2025.grand-challenge.org/.

Register Now: Harnessing AI for Clinical Decision-Making – Free Webinar on June 25, 2025

Join us online on Wednesday, 25 June 2025 | 10:00–11:30 CEST


Hosted by the European Society of Radiology (ESR) and the European Institute for Biomedical Imaging Research (EIBIR)

This expert-led session in the EIBIR Webinar Series will highlight how leading European research initiatives are using artificial intelligence (AI) to transform clinical diagnostics, treatment planning, and workflow efficiency.

Featured EU Projects:

Whether you’re a healthcare provider, researcher, policymaker, or industry professional, this is a must-attend event to engage with innovative research shaping the future of medicine.


🗓 Programme (CEST)

10:00 – 10:05 | Welcome & Introduction of EIBIR
Regina Beets-Tan, Amsterdam/Netherlands

10:05 – 10:20 | ODELIA: Secure and Collaborative AI for Breast Cancer Diagnostics
Oliver Lester Saldanha, TU Dresden – EKFZ / Heidelberg University Clinic – NCT, Germany

10:20 – 10:35 | RadioVal: Advancing Trustworthy AI for Breast Cancer Imaging
Oliver Díaz Montesdeoca, University of Barcelona, Spain

10:35 – 10:50 | SHERPA: Human-centred AI for Enhanced Decision-Making and Workflow Efficiency in Interventional Radiology
Robert Hofsink, Philips, Best/The Netherlands

10:50 – 11:20 | Interactive Panel Discussion
Clinical integration of AI tools – Bridging research and practice

11:20 – 11:30 | Closing Remarks
Regina Beets-Tan, Amsterdam/Netherlands


🎯 Don’t miss this opportunity!

Learn directly from the researchers behind some of Europe’s most promising AI initiatives in healthcare.

➡️ Register now to secure your spot.

Deep-Breath 2025: 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care

The ODELIA project is pleased to announce that Deep-Breath 2025 will be held as an official workshop at MICCAI 2025, taking place from September 23–27, 2025 in Daejeon, South Korea. This international workshop brings together researchers, clinicians, and AI experts to explore how artificial intelligence and advanced imaging can address diagnostic and treatment challenges in breast cancer care.

As the second edition of Deep-Breath, this event builds on the success of Deep-Breath 2024 and continues to foster collaboration across disciplines, promoting the development of clinically meaningful, explainable, and robust AI tools.

🎯 Workshop Aims

Deep-Breath 2025 aims to:

▪️Highlight recent advances in AI for breast imaging

▪️Bridge gaps between research and clinical practice

▪️Foster discussion on generalizability, interpretability, and real-world impact

▪️Promote open science and reproducibility in breast imaging AI

 

📍 Location & Participation

📅 Date: September 23rd, 2025

📌 Venue: Daejeon Convention Center, South Korea

🎓 Open to AI researchers, clinicians, medical imaging scientists, and students worldwide

 

🌐 Relevant Links

🔗 Website: https://deep-breath-miccai.github.io/deepbreath-2025/

🔗 LinkedIn: https://www.linkedin.com/company/deep-breath-workshop/

 

Deep-Breath 2025 is also affiliated with three official MICCAI challenges: ODELIA2025, MAMA-MIA2025, and UUSIC2025, providing hands-on benchmarking opportunities that complement the workshop discussions. Call for papers and challenge registration details are available on the workshop website.

We warmly welcome your participation and contributions. See you in Daejeon, South Korea, at MICCAI 2025!

 

Save the Date: Discover How AI is Transforming Clinical Decision-Making

Date & Time:
25 June 2025 | 10:00–11:30 CEST | Online

The European Society of Radiology (ESR) and the European Institute for Biomedical Imaging Research (EIBIR) invite you to join the next session in the EIBIR Webinar Series:
Harnessing Artificial Intelligence for Clinical Decision-Making: Insights from Leading European Research Initiatives

This expert-led webinar will explore the latest innovations in AI from leading EU projects—ODELIARadioVal, and SHERPA—showcasing how AI is revolutionizing diagnostics, treatment, and workflow in clinical settings.

Whether you’re a healthcare provider, researcher, policymaker, or industry professional, this is a unique opportunity to engage with groundbreaking research that is shaping the future of medicine.

Programme

Moderator: Regina G. H. Beets-Tan, Amsterdam

Welcome & Introduction of EIBIR (5 min)

ODELIA: Secure and Collaborative AI for Breast Cancer Diagnostics (15 min)
Speaker: Dr. Oliver Lester Saldanha (TU Dresden – EKFZ, Heidelberg University Clinic – NCT)

  • Learn about collaborative training of AI algorithms using swarm learning.

  • Get up to date on progress in AI applications for MR breast imaging.

  • Discover how to contribute to collaborative AI development in medical imaging.

RadioVal: Advancing Trustworthy AI for Breast Cancer Imaging (15 min)
Speaker: Dr. Oliver Díaz Montesdeoca (University of Barcelona)

  • Learn about the FUTURE-AI guideline for trustworthy AI in healthcare.

  • Understand how to build and validate transparent, reliable AI tools in breast cancer imaging.

  • Explore the importance of traceability and explainability in AI applications.

SHERPA: Human-centred AI for Enhanced Decision-Making and Workflow Efficiency in Interventional Radiology (15 min)
Speaker: Robert Hofsink (Philips)

  • Learn about the potential of assistive technologies for decision-making and patient stratification for image-guided therapy.

  • Understand the crucial need to integrate reliable, human-centred AI- and robotics-based assistive technologies enhancing the clinical workflow in interventional radiology (IR).

  • Explore the benefits of automated IR workflows in neurovascular interventions and liver tumor ablations.

Interactive Panel Discussion (30 min):
Clinical integration of AI tools – Bridging research and practice

Closing Remarks: Regina G. H. Beets-Tan

Mark your calendar—you won’t want to miss this exciting discussion!