AI & Decisions

Decisions in medical practice are challenging, especially in the case of complex medical conditions where they are based on heterogeneous and uncertain data. The constantly growing amount of medical data offers opportunities for data-driven decision-making models using AI. Effective interaction between AI experts, medical staff and data is crucial not only to promote data and model understanding, but also to structure models with domain knowledge (hybrid models).

The testing and evaluation of new AI algorithms in clinical practice is equally important. CAIMed is researching new methods for studies and testing their practical application for clinical decision support.