MedNuggetizer: Confidence-Based Information Nugget Extraction from Medical Documents

• URL: http://arxiv.org/abs/2512.15384v1
• Date: Wed, 17 Dec 2025 12:37:44 GMT
• Title: MedNuggetizer: Confidence-Based Information Nugget Extraction from Medical Documents
• Authors: Gregor Donabauer, Samy Ateia, Udo Kruschwitz, Maximilian Burger, Matthias May, Christian Gilfrich, Maximilian Haas, Julio Ruben Rodas Garzaro, Christoph Eckl,
• Abstract summary: textitMedNuggetizer is a tool for query-driven extraction and clustering of information nuggets from medical documents.<n>Backed by a large language model (LLM), textitMedNuggetizer performs repeated extractions of information nuggets that are then grouped to generate reliable evidence.
• Score: 4.210316924675724
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present MedNuggetizer, https://mednugget-ai.de/; access is available upon request.}, a tool for query-driven extraction and clustering of information nuggets from medical documents to support clinicians in exploring underlying medical evidence. Backed by a large language model (LLM), \textit{MedNuggetizer} performs repeated extractions of information nuggets that are then grouped to generate reliable evidence within and across multiple documents. We demonstrate its utility on the clinical use case of \textit{antibiotic prophylaxis before prostate biopsy} by using major urological guidelines and recent PubMed studies as sources of information. Evaluation by domain experts shows that \textit{MedNuggetizer} provides clinicians and researchers with an efficient way to explore long documents and easily extract reliable, query-focused medical evidence.

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