Masterclass AI - 18 maart 2025

Program

Keynote: AI Healthcare Professionals within the Catharina Ziekenhuis
dr. ir. Eva J.L. Deckers — Head of AI Center of Excellence Catharina Ziekenhuis

Eva Deckers leads digital healthcare programs at the Catharina Hospital Eindhoven, developing hybrid care solutions with a multidisciplinary team. As head of the AI Center of Excellence, she works alongside her team to build a local AI platform to enhance care. Eva also spearheads the hospital’s strategy process to ensure future excellence and accessibility in regional healthcare.

Previously, Eva was Design Director at Philips Experience Design, where she pioneered Data Enabled Design, integrating design, data and AI. She crafted and executed customer-driven strategies for various businesses and was part of the SaaS and Data & AI transformation leadership teams, emphasizing a customer and user-centric approach. 

Her extensive design background continues to influence her work in healthcare. With other designers she started a movement to further mature design in healthcare. 

Eva holds a PhD from Eindhoven University of Technology, where she explored AI from a design perspective. She remains actively involved in research and PhD mentorship, underscoring her commitment to innovation in healthcare.

AI Developments in HagaZiekenhuis
dr. ir. Osman S. Kayhan - Technical Data and AI Lead

Osman S. Kayhan is the Technical Data and AI Lead at Haga Teaching Hospital, where he focuses on developing AI-driven solutions for healthcare and imaging. He is also a Guest Researcher at Technische Universiteit Delft, where he explores the intersection of AI, computer vision and data-efficient learning methods.

Previously, he worked at Bosch Security System, where he designed and led AI projects for security camera systems. His PhD research at TU Delft focused on locality in space and time for data-efficient visual recognition, providing insights into optimizing AI for resource-constrained environments.

Osman has been actively involved in bridging industry and academia, mentoring students and collaborating with leading researchers on AI applications across various domains. His expertise spans deep learning, computer vision, and AI for healthcare, and he has contributed to several high-impact research publications.

With a passion for AI’s transformative potential in healthcare, Osman continues to explore how machine learning can improve hospital workflows, from automating clinical processes to improving diagnostic accuracy and patient care.