The Challenge of Long-Term Holter Analysis Automatic analysis of long-term Holter recordings has always been challenging. One of the main reasons is variable signal quality—noise and artifacts that remain even after filtering can significantly affect how well algorithms perform. Simply put, the longer the recording, the more opportunities there are for such distortions to appear: […]
At Cardiomatics, we are committed to advancing cardiac research with AI-driven ECG analysis. We are proud to share our latest study, conducted with University Hospital Basel, and published in Diabetes Care. This marks our fourth collaboration, and we are eager to do more! The study explores how metformin can protect against the harmful effects of […]
Kasia Barczewska, Head of Research and Development at Cardiomatics, provides insights into algorithms, AI, and machine learning. Algorithms are likened to recipes for problem-solving, while AI is described as the ability of computers to learn and make decisions based on statistical modeling. Barczewska discusses the transformative potential of algorithms in medicine, emphasizing their role in facilitating diagnosis, shortening wait times, and augmenting medical expertise.