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M. Krüger

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Open access Aug 2026

Augmenting Head and Neck Multidisciplinary Tumor Board Recommendations With Locally Run Large Language Models: Prospective Evaluation of Real-World Implementation

The data demonstrate that the integration of LLMs in today’s MDT workflow is feasible and may benefit the quality of decision-making in specific cases, and suggests that more advanced local models may offer safe, rapid, and cost-effective support for MDT decision-making.

C. Buhr, L. Müller, D. Pinto dos Santos et al. · 0 citations

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