AI in Health: Innovation, regulation and the future of proactive healthcare

How do you turn messy data into safe, actionable decisions that clinicians, and entire health systems, can trust? In healthtech, the gap between hype and reality is often defined by one thing: trust. And trust is built through evidence, regulation, and collaboration. Benedikt von Thüngen, CEO of Sanome, shares the unvarnished story of building MEMORI, the UK’s first CE-marked Class IIb AI platform for real-time infection prediction. From regulatory grind to frontline co-design with clinicians, he explores how healthtech innovators can turn complex data into life-saving insights in real-time without losing sight of compliance, culture, or collaboration. For digital leaders across sectors, the parallels are clear: AI only drives change when it’s explainable, embedded, and trusted. Takeaways - Why regulation and compliance are enablers, not barriers, and how they unlock adoption. - How to translate complex, messy data into clear, actionable insights that drive confident, accurate decisions. - How to build trust in AI systems - what healthcare teaches us about adoption, explainability, and culture change. - Practical lessons from the front line - what went wrong, what worked, and how to avoid the common pitfalls of AI implementation