Researchers from the IBA at the Faculty of Medicine, Masaryk University, achieved success at the 11th International Digital Public Health Conference 2026 in Barcelona. Graduate student Hlib Aleksandrenko and his advisor, Martin Komenda, received an award for the best scientific abstract entitled “Large Language Models for Health Literacy: A Comparative Trustworthiness Evaluation with Retrieval-Augmented Generation.”
Their work focused on the current topic of artificial intelligence in healthcare, specifically on how reliably selected chatbots can provide health information.
The authors compared commonly available AI tools with their own solution connected to a verified source—the National Health Information Portal (NZIP). While standard chatbots draw on a vast amount of data of varying quality, their system uses only content that has been professionally vetted. As part of the study, 11 experts evaluated the responses of various chatbots to dozens of questions about our health and the healthcare system, assessing them in terms of reliability, clarity, logic, and transparency.
The results showed that a specialized system connected to verified sources provides significantly more reliable information than general AI tools. The downside, for now, is reduced user-friendliness and greater technical complexity.
A new research study by authors from the IBA at the Faculty of Medicine, Masaryk University, evaluated a prototype AI assistant based on educational and popular science content from the National Health Information Portal (NZIP) and showed that linking generative AI with verified health content can significantly enhance the credibility of the information provided.
Professor Ladislav Dušek received the annual award from the Association of Social Service Providers, primarily for his contribution to the ELFis (End of Life Care Information System) project—an information system designed to help optimize social, health, and palliative care services.
