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Author

Martin Hofmann-Apitius

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Review Aug 2026

Quantitative Evidence Mining for Plausibility-Aware Biomedical AI: A Narrative Review and Conceptual Framework

Biomedical artificial intelligence is moving from literature retrieval toward evidence synthesis for knowledge graphs, clinical decision support, and computational models. Yet most information-extraction systems still represent findings as simple relations, discarding the quantitative and contextual detail needed for i...

N. S. Babaiha, Stefan Geißler, Marie-Christine Simon et al. · 0 citations
#natural language process... Preprint Aug 2026

Quantitative Evidence Mining for Plausibility-Aware Biomedical AI

This work outlines a framework for plausibility-aware AI that treats extracted claims not as final answers but as auditable evidence objects, making clear what was measured, how much it changed, in which setting, with what uncertainty, and from which source.

N. S. Babaiha, Stefan Geißler, Marie-Christine Simon et al. · 0 citations

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