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C. Maathuis

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#large language models Conference Open access Oct 2026

Safer On-Premise Medical AI: A Hybrid Framework for Hallucination Detection in Local LLMs

LLMs (Large Language Models) are increasingly integrated into medical workflows to provide decision-making support, for example as Question Answering (QA) systems. However, in medical context, privacy requirements and resource constraints require the use of local and small (1B-parameter) LLMs. 1B-parameter LLMs are hig...

S. Wielinga, C. Maathuis, Natasha Alechina · 0 citations
Review Open access Sep 2026

Evaluation methods and metrics towards trustworthy AI

The ongoing developments in Artificial Intelligence (AI) are introducing new technologies, initiatives, and applications. To assure that these developments do not translate into potential risks that are not captured, understood, measured, and managed, a trustworthiness approach is necessary. AI trustworthiness is treat...

C. M. van Leersum, C. Maathuis · 0 citations
Review Open access Sep 2026

Security and Safety of Large Language Models—A Use Case for Extended Reality Environments

Recommendations for the design and deployment of secure LLM-enabled XR systems, emphasizing strategies such as security defense in depth, privacy-aware data practices, layered technical safeguards, continuous monitoring, and governance mechanisms that align security controls with the specific risks of immersive and int...

Letiția Marin, Marina-Anca Cidotã, Irina Ciocan et al. · 0 citations

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