At ECR 2025, the conversation around AI in medical imaging felt meaningfully different from just a year ago. Where skepticism about immediate value was still prominent at the previous congress, this year suggested a shift
Is AI growing up? Artificial intelligence has been characterized by cycles of hype and disillusionment, sparked by impressive breakthrough news in deep learning and, more recently, large language models (LLMs). These technologies have fueled expectations of autonomous...
Michaela Bender, business-manager healthcare & life sciences at Hager Executive Consulting, interviewed our managing partner Natalie Erdmann, discussing opportunities and challenges for AI adoption.
Adoption of AI in healthcare may be lagging behind the boldest expectations, but some frontrunners have shown significant value in medical applications. We examine the critical factors that have contributed to the success, offering a blueprint for future AI innovations in healthcare.
Our outlook on radiology AI – where is the value? After numerous discussions with thought-leaders in the field at the European Congress of Radiology (ECR2024), we see a very colorful picture of the state of radiology AI in Europe.
Our reflections from RSNA 2023, the largest radiology congress in the world, on the prevalent themes in AI for Radiology. We see LLMs unlocking new opportunities, the focus further shifting to real-world value, and broader impact beyond narrow diagnostic support.