AI-powered quality processes are no longer just a fad, but they aren’t a revolution either. Why the foundation matters—and what that means in concrete terms for…
In the medtech industry, data governance determines whether AI succeeds or fails. Why data quality, documentation, and monitoring are becoming regulatory…
Many AI projects in MedTech fail not because of the technology, but because of architecture, data and regulation. Why successful AI needs more than good models…
With the EU AI Act and the MDR, MedTech manufacturers are facing a new regulatory reality: Artificial intelligence must not only be powerful, but also…
Artificial intelligence promises efficiency, precision and completely new business models. The technology works, models are getting better, data platforms more…
Why is GenAI not a sure-fire success in medical technology? Generative AI (GenAI) and large language models (LLMs) such as ChatGPT are rapidly moving into…
With the Second Ordinance Amending the Digital Health Applications Ordinance (DiGAV), in force from February 1, 2026, the legislator has fundamentally developed…
The FDA provides new clarity: wearables and wellness apps are to be less strictly regulated. For manufacturers, start-ups and tech players, this means more…
A robot that operates with millimeter precision while an AI calculates the next step: This is not a dream of the future, but reality. In an ageing society with…
