Author

J. Peeken

2 papers indexed here

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Preprint Sep 2026

nnFoundation: 3D Foundation Models for Radiology

Radiological artificial intelligence has advanced rapidly, yet most systems remain narrowly task-specific, data-intensive, and fragile under domain shift. Foundation models promise more transferable and data-efficient solutions, but existing approaches are limited in scale, evaluated narrowly, and often assume that a s...

C. U. Harsy, Tassilo Wald, Karol Gotkowski et al. · 0 citations

Open access Sep 2026

Improving Reliability and Explainability of Medical Question Answering Through Atomic Fact-Checking in Retrieval-Augmented Large Language Models: Creation and Validation Study

Abstract Background Large language models (LLMs) exhibit extensive medical knowledge but are prone to hallucinations and show low fact-level explainability, limiting clinical adoption and regulatory compliance. Existing approaches, such as retrieval-augmented generation, partially address these issues by grounding answ...

J. Vladika, A. Domres, Mai Q. Nguyen et al. · Journal of Medical Internet... · 0 citations