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About
AI is reshaping radiology, but not in the way most hospitals expect. While attention often centers on which AI model to choose, the more critical question is often overlooked: how will you manage AI across departments, vendors, and clinical workflows—now and in the future?
What makes this even more urgent is the fact that AI itself is changing. The field is shifting beyond traditional point solutions toward large language models, foundation models, and multimodal architectures. Each brings new promise, but also new complexity in how they are deployed, integrated, and governed.
This webinar uncovers the missing piece in many hospital strategies: infrastructure.
We’ll explain the difference between AI models, marketplaces, and infrastructure platforms, and why only one of them can support sustainable, system-wide impact.
Whether you're just beginning with AI or facing integration challenges, this session will help you reframe your approach.
Because the platform you choose today will define what AI can deliver tomorrow.
Agenda
Why the next wave of AI models demands more from your infrastructure
Discover how narrow models, LLMs, foundation models, and research prototypes are converging—and what your systems need to support them all.
What separates marketplaces from true infrastructure platforms
Understand the trade-offs between access and integration, and learn what hospitals should demand across governance, routing, data standardization, and scalability.
The critical questions leaders must ask before scaling AI
From deployment logistics to vendor neutrality and performance monitoring, get a practical checklist for evaluating whether your AI plans are built to last.
Speakers
Dr. Franz MJ Pfister is a medical doctor, data scientist, and entrepreneur, recognized as a leading expert at the intersection of AI, data, digitization, and healthcare. He studied medicine at Ludwig Maximilian University of Munich and Harvard Medical School, earning a medical doctorate in neuroscience. He also holds an MBA from Munich Business School and a Master's in Data Science from LMU Munich. As CEO and co-founder of deepc, a Munich-based AI platform company, Franz focuses on advancing Radiology AI to improve patient care, optimize clinical processes, and enable personalized medicine.
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Professor Sebastien Ourselin FREng FMedSci is the Head of the School of Biomedical Engineering & Imaging Sciences and Assistant Principal (Innovation) at King's College London. He is also the Director of Digital Health and Data Science for King’s Health Partners, the London Institute for Healthcare Engineering and the AI Centre for Value Based Healthcare. Alongside Guy’s & St Thomas’ NHS Foundation Trust, he leads the establishment of a MedTech Hub, located at St Thomas’ campus. The vision for the Hub is to create a unique ecosystem, enabling academia, industry and the NHS to work in synergy and develop health technologies (including medical devices), workforce and operational improvements that will be of global significance. He has over 25 years of experience within academia and research organisations (across three countries) and has significant experience in translating and commercialising healthcare technology and in MedTech entrepreneurship.
