Your daily ration of explainable AI
About RationAI
Born at Masaryk University, RationAI is a multidisciplinary research group bridging the gap between advanced computer science and clinical medicine. We specialize in transforming "black box" algorithms into Explainable AI (XAI), creating a collaborative ecosystem where data scientists and medical experts can work in lockstep. By integrating automated traceability, robust visualization, and validation metrics co-designed with clinicians, we ensure that every AI-driven insight is transparent, trustworthy, and ready for the high-stakes world of biomedicine. At RationAI, we don't just build powerful models, we build the trust necessary to bring them into the lab and the clinic.
Our vision
We aren't just developing AI models, we’re teaching them to speak our language. Our focus is on creating Explainable AI (XAI) that transforms "black box" algorithms into transparent, collaborative partners for scientists and doctors.
Bilingual AI
Developing XAI that translates complex data into "human-speak," allowing domain experts to actually converse with the system.
Privacy-First Intelligence
Scaling explainability to Federated Learning environments, ensuring insights are clear even when data stays decentralized and secure.
Precision Interfaces
Designing advanced UIs tailored for pathologists, transforming raw algorithmic output into intuitive, clinically actionable visual stories.
The Feedback Loop
Thanks to pathologist who cooperate with us and are using our technology. We are able to continuously and iteratively refine our models and UIs, based on their direct critiques and insights.
Regulatory Excellence (IVDR)
We provide the validation evidence required for regulatory compliance, specifically the In Vitro Diagnostic Regulation (EU) 2017/746, by generating trusted data and AI method provenance.
Secure Scaling & FAIRness
To protect large-scale multimodal health data, we implement FAIRness support and develop federated machine learning methods that ensure insights remain clear while data stays decentralized and secure.
The leaders of RationAI
doc. RNDr. Tomáš Brázdil, Ph.D., MBA
doc. RNDr. Petr Holub, Ph.D.
RNDr. Vít Musil, Ph.D.
We cooperate with following institutions
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