Speakers
Register now🧠 Plenary & Workshop Speakers
Dr. Ir. Colin Jacobs
Colin Jacobs is Associate Professor in Artificial Intelligence in Thoracic Oncology at the department of Medical Imaging of Radboudumc. He is internationally recognized for his work on AI in medical imaging, specialized in the field of lung cancer screening and early detection of lung cancer. His research focuses on the development and clinical validation of AI for chest imaging and ensuring its safe implementation. Colin will deliver a plenary presentation on the opportunities and challenges of AI in healthcare.
Dr. Kicky van Leeuwen
Kicky van Leeuwen is a market expert in AI solutions for radiology and healthcare. She founded Health AI Register, a globally used platform offering insights into commercial AI software solutions. She co-leads Romion Health to drive the responsible adoption of AI by advising and educating on medical AI procurement and implementation throughout Europe. During the congress, she will deliver a plenary session about the considerations for selecting an AI system, and will lead a hands-on workshop offering practical guidance.
🔍 Insight Session Speakers
Cardiology
Prof. Dr. Niels van Royen
Head of Cardiology at Radboudumc, Prof. van Royen leads both clinical care and translational research in interventional cardiology. He integrates advanced imaging technologies, such as optical coherence tomography (OCT), to improve real-time decision-making in the cath lab. His session will focus on how AI can support interpretation of complex cardiac imaging, enhance intervention strategies, and be safely embedded into cardiology workflows.
Alexander Vanpeteghem
Alexander Vanpeteghem works in digital innovation in cardiology and is closely involved in bridging clinical needs with emerging AI tools. He collaborates on projects exploring the use of AI in structured reporting and workflow optimization. In his joint session with Niels, he will discuss the opportunities for collaboration between vendor and clinician, and how the vendor starts from an idea to development.
Pathology
Natalie ter Hoeve
Natalie ter Hoeve is a pathologist assistant at the University Medical Center Utrecht (UMCU), actively involved in integrating artificial intelligence (AI) into pathology to enhance diagnostic accuracy and efficiency. She focuses on implementing AI-assisted workflows in prostate and breast cancer diagnostics. She will lead a session focusing on the insights of implementing AI in the pathology department.
Dr. Dirk Vossen
Dirk Vossen is the Chief Diagnostics Officer at Visiopharm, where he oversees clinical AI programs and product strategy in digital pathology. He holds a PhD in physics from Utrecht University/AMOLF and brings over a decade of experience from his co founding of Philips' Digital & Computational Pathology business. At Visiopharm, Dirk leads teams developing CE IVD certified AI solutions, such as Qualitopix, to enhance quality and consistency in tissue based diagnostics.
Radiology
Dr. Steven Schalekamp
Steven Schalekamp is a radiologist at Radboudumc specializing in chest imaging, with an active role in evaluating and implementing AI tools in clinical radiology. As both a clinician and researcher, he is closely involved in assessing the value, risks, and workflow impact of commercial AI solutions. In his session, he will discuss what drives the decision to adopt (or not adopt) an AI tool, focusing on clinical needs, workflow fit, and long-term usability. His perspective highlights the reality of embedding AI into practice: from evidence to workflow fit and long-term usability.
Daniel Drieling
Daniel Drieling is a Senior Product Manager at MeVis Medical Solutions. With a background in computer science and a strong understanding of hospital IT environments, Daniel has led the design and deployment of AI-powered imaging tools for lung cancer screening and beyond. He brings a valuable vendor perspective on how clinical needs and technical possibilities must align: from interface design and workflow integration to regulatory constraints and user feedback loops. During his session with Steven, he will reflect on lessons learned from long-term collaborations with hospitals and how vendor–clinic partnerships can lead to meaningful, sustainable AI implementation.
Radiotherapy
Dr. Ir. Hanneke Bluemink
As a medical physicist at Catharina Hospital, Hanneke is specialized in AI-based automation of radiotherapy planning and segmentation workflows. In her session with Dennie, Hanneke will share practical insights on working with vendors, validating AI models in clinical workflows, and the cultural and technical shifts required to move from manual to automated planning in a safe and effective way.
Dennie Fransen
Dennie Fransen is an Application Specialist at RaySearch Laboratories and previously worked as a Senior Radiation Therapy Technologist at HollandPTC. He has extensive hands-on experience with advanced radiotherapy planning systems. Dennie specializes in optimizing treatment workflows through AI-supported planning and automation. In his session with Hanneke, he will discuss how AI is used to enhance precision, reduce planning time, and support clinical teams, while also highlighting how clinical expertise must remain central when adopting new tools in radiotherapy departments.
💬 LLMs & The Future of AI in Healthcare
Marja de Waal
Marja de Waal is a clinical informatician at Radboudumc with a background in medical imaging and digital innovation. She initiated and led a pilot project at Radboudumc to assess the use of AI-driven digital scribes (Autoscriber) within the EPIC EHR system, focusing on ambient listening and its impact on clinician workload and documentation quality. In the session with Martijn, she will reflect on how large language models can support, but also challenge, clinical routines, and what conditions must be in place for successful adoption.
Dr. Martijn Bauer
Martijn Bauer is an internist at Leiden University Medical Center (LUMC) and Chief Medical Information Officer at Autoscriber. He was instrumental in initiating the development of Autoscriber within LUMC’s internal medicine department, where he recognized the potential of AI to support clinical documentation and reduce administrative burden. Drawing from both his clinical and innovation roles, Martijn brings a unique perspective on what it takes to co-develop AI tools that actually work for clinicians. During the session with Marja, he will give a demo and share lessons from real-world implementation, how to manage expectations, earn clinician trust, and integrate LLMs into daily EHR use.
Prof. Dr. Bram van Ginneken
Bram van Ginneken is a professor of medical image analysis at Radboudumc and one of the world’s leading researchers in AI for radiology. He has pioneered the development of deep learning algorithms for detecting diseases such as lung cancer and tuberculosis, and has led numerous international validation efforts. Bram’s work bridges cutting-edge model development with the practical realities of deployment in diverse clinical environments. In his session with Robert, he will share a forward-looking perspective on how AI is likely to reshape hospitals over the coming years — from changing diagnostic workflows to shifting what it means to be a clinician.
Robert Breas
As a senior consultant, Robert specializes in healthcare IT infrastructure, data management, AI, and the integration of digital technologies in medical imaging. During the session with Bram, he will open the discussion by introducing several thought-provoking statements to challenge assumptions around AI implementation in hospitals. His contribution will set the stage for a critical and interactive discussion on the roles of clinicians, vendors, and IT departments in shaping a future where AI becomes part of routine care, or doesn’t.