At the Department of Radiology at LMU University Hospital Munich, AI has been supporting the interpretation of numerous imaging studies for years, ranging from X-rays and mammograms to CT and MRI scans.

CE-certified AI algorithms have become an integral part of everyday clinical practice. For example, they are used to detect fractures, to segment, quantify, and characterize lesions, and to measure disease-related changes over time. AI-based applications support the analysis of image data and can help identify relevant findings more quickly.

Comprehensive documentation and compliance with all security and data protection requirements are essential for safe operation. “We continuously and systematically track and evaluate the models’ usage and performance during routine operations. This is best achieved through close collaboration among experts in radiology, medical physics, data science, and IT,” explains Maria Steinberger, Head of Medical Physics at LMU Radiology.

“To date, it has been primarily U.S. hospitals that have been recognized as ARCH-AI centers, including leading institutions such as the Mayo Clinic, Mass General Brigham (Harvard Medical School), and Yale New Haven Health,” says Prof. Dr. med. Clemens Cyran. “With the certification of the Department of Radiology at the LMU University Hospital Munich, an institution within the European Union is now part of this international network for the first time.” This brings the total number of recognized centers in Europe to just three so far, including two hospitals in Switzerland. The designation underscores the commitment to using AI in radiological diagnostics in accordance with the highest standards of safety, effectiveness, and efficiency.