Trustworthy AI in Digital Health: The iPROLEPSIS Approach

At Health Data Summit 2025, organised by The European Institute for Innovation Through Health Data on March 18–19 in Brussels, Vasileios Charisis, PhD, from the Signal Processing & Biomedical Technology Unit - AUTH, presented iPROLEPSIS during the session “Trustworthy AI in Digital Health: From Guidelines to Practice”.

The presentation outlined the methodology used in iPROLEPSIS to develop a trustworthy AI (TAI) framework tailored to the project’s specific needs. A case study on the Lifestyle Recommendation Engine demonstrated how it aligns with TAI principles and recommendations.

The session also featured other Horizon Europe projects, including AI-PROGNOSIS, TRUSTroke, and STRATIFYHF, which presented their approaches to developing trustworthy digital health solutions.

By bringing together different initiatives, the session highlighted the importance of trustworthy AI in healthcare, ensuring transparency, reliability, and ethical considerations in digital health innovations.