
Article • Evolution of a field
Will software steal the heart of cardiology?
Celebrating 40 years of PCI, cardiologists fret over their future with big data, machine learning and robots.

Celebrating 40 years of PCI, cardiologists fret over their future with big data, machine learning and robots.

Language recognition on the smartphone, spam filters in the e-mail programme, personalised product recommendations by Amazon or Netflix – all share one feature: they are based on an algorithm that recognises patterns in a set of data. This artificial generation of knowledge is called machine learning.

With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.