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Dr. Clemens Cyran, Vice Chair at the Department of Radiology at LMU University Hospital Munich, shares how his department integrates artificial intelligence into everyday clinical practice with the help of deepcOS®.
The University Hospital of LMU Munich is one of Europe’s largest academic medical centers, treating more than 500,000 patients annually and 170,000 within the radiology department alone. As early adopters of innovation, LMU sought a scalable, compliant, and flexible way to bring AI from research into clinical reality.
In this interview, Dr. Cyran explains:
Why LMU Munich needed a platform approach to simplify AI integration
How deepcOS® streamlines deployment and ensures data protection compliance
The impact of AI on reading confidence and radiologist training
How clinical AI adoption is evolving beyond research from PET segmentation to structured reporting
deepcOS® enables hospitals and research institutions to evaluate, integrate, and manage medical AI applications securely within existing IT infrastructures, turning innovation into daily clinical value.
