ECR 2025 in Vienna – An inspiring experience alongside iCAD
Every year, the European Congress of Radiology (ECR) in Vienna brings together the most innovative players in the field ofmedical imaging. In 2025, intellimed was there once again—not merely as a visitor, but as a committed partner at the iCAD booth, working together to represent a shared vision of radiology enhanced by artificial intelligence.
A partnership based on trust and a shared vision
For several years now, intellimed and iCAD have been working hand in hand to support Swiss and European radiologists in the digital transformation of their practices.
At ECR 2025, this collaboration truly came into its own: live demonstrations, lively discussions about ProFound AI, and feedback from all corners of the globe.
The energy at the booth reflected a shared conviction:AI is not there to replace, but to enhance the radiologist’s expert eye.
Toward faster, safer, and more patient-centered radiology
Solutions like ProFound AI demonstrate just how much technology can enhance diagnostic accuracy, reduce workload, and save valuable time for both patients and practitioners.
For intellimed, partnering with iCAD in Vienna was, above all, a way to highlight the people behind the technology: the exchanges, the ideas, and the passion for responsible medical innovation.
Looking to the future together
ECR 2025 was much more than just a conference: it served as a reminder that the future of radiology is built together, through strong partnerships, a shared vision, and an unwavering commitment to quality care.
✨ Thank you to everyone who came to share this moment in Vienna.
See you in 2026, as we continue to advance precision radiology together.
iCAD
iCAD is a company that provides software solutions for medical image processing. One of its flagship products is ProFound AI, an artificial intelligence-based software designed to analyze mammography images. ProFound AI aids in the screening and diagnosis of breast cancer by using AI-based detection technology to identify potential abnormalities in mammography images, thereby helping radiologists perform more accurate initial assessments and facilitating faster review and decision-making processes. www.icadmed.com/