Upcoming conference
This conference aims to bring together leading experts, researchers, practitioners, and professionals from the fields of artificial intelligence, medical imaging, and healthcare. We believe that AI holds immense potential to revolutionize medical diagnostics, treatment planning, patient care, and the overall healthcare landscape.
The rapid changes in healthcare and the complexity of hospital management demand the engagement of all key stakeholders in leadership and strategy to drive the adoption of new technologies.
Based on the current need for customized education and awareness on this topic, we introduce an international conference focused on AI in Medical Imaging.
Why Attend?
You will have the opportunity to:
Gain Insights: Learn about the latest advancements in AI technologies and their applications in medical imaging and healthcare. Renowned experts will share their experiences, case studies, and research findings during engaging keynote presentations, panel discussions, and interactive sessions.
Network: Connect with like-minded professionals, researchers, and industry leaders to exchange ideas, foster collaborations, and build lasting relationships. The conference will provide ample networking opportunities during breaks, lunches, and the dedicated networking sessions.
Discover Innovations: Explore a diverse range of cutting-edge AI solutions, software platforms, and medical imaging technologies showcased by leading companies and startups in the exhibition area. This will provide you with a unique chance to witness the future of AI in healthcare firsthand.
Collaborate: Participate in sessions designed to facilitate collaboration and knowledge sharing among attendees. Share your insights, experiences, and research outcomes to contribute to the collective understanding of AI in medical imaging and healthcare.
State-of-the-art Lectures (as of today)
Value-based Imaging AI
Data Driven Doctor
The Radiologist as co-creator of a medical AI device
Making your radiology data infrastructure ready for AI
AI roadmap for a hospital: where to start and how to build the route?
Sharing clinical data with industry: Myths and reality.
Building a framework for an open-source federated AI-learning project.
On the use of artificial intelligence in clinical practice.
Federated learning and data privacy for medical imaging
The impact of AI on the radiological workflow: what evidence do we have?
What should medical students and radiology trainees learn about AI?
How to prepare for implementing AI in the hospital
Prof. Dr. J.J. Visser (Rotterdam, NL) Dr. G. Speijer (Den Haag, NL) Prof. Dr. E. Ranschaert (Ghent, BE) Ir. P. De Jaeger (Roeselare, BE) Ir. P. Moussali (Ghent, BE) Dr. L. Topff (Amsterdam, NL) Prof. Dr. S. Morozov (Ghent, BE) Prof. N. Lea (London, UK) Prof. Dr. B. van Ginneken (Nijmegen, NL) Dr. B. Claikens (Ostend, BE), president
European CME Credits are being sought by the European
Accreditation Council for Continuing Medical Education (EACCME).
Credits for Ethics and Economy and being sought by the Belgian Accreditation Council.