RationAI research group concentrates on developing cutting-edge AI methods in biomedicine. We aim to create an appropriate environment that will maximally support cooperation between domain experts and computer science specialists, focusing on explaining the behavior of these AI methods (explainable AI, XAI). As an indispensable part of such an effort, we consider traceable development, training, and validation of the AI methods using automated provenance information generation and robust visualization systems. Furthermore, for specific domains, we also develop a trusted environment for the validation of AI methods using evaluation metrics developed in tight cooperation with the domain experts.
Research Group RationAI
- IndustryHealthcare, Pharma & Biotech, Information & Communication Technologies, Science & Research
- InstitutionMasaryk University
- Faculty / InstituteFaculty of Informatics
- Research typeApplied, Basic
- Research areaAI for Science, Explainable & Trustworthy AI, Human-AI Interaction, Machine Learning, Computer Vision & Video Analytics, Trustworthy & Responsible AI
Group head
Tomáš Brázdil, GS
Affiliated Research Center / Institute
self-explanatory AI methods, Advanced visualization, explainability, AI methods in biomedicine, Machine learning, explainable AI, digital pathology, biomedical image processing, data provenance

- ContactTomáš Brázdil
- Emailxbrazdil@fi.muni.cz
- Websitehttps://rationai.fi.muni.cz/
- AddressBotanická 68a, 602 00 Brno