Augmenting Head and Neck Multidisciplinary Tumor Board Recommendations With Locally Run Large Language Models: Prospective Evaluation of Real-World Implementation
Christoph Raphael Buhr, Lukáš Müller, Daniel Pinto dos Santos, Daniel G. E. Thiem et autres
Background: Multidisciplinary tumor boards (MDTs) constitute the foundation of modern tumor therapy. Large language models (LLMs) are widely discussed for optimizing their recommendations. Objective: This is the first prospective feasibility study evaluating the implementation of locally run LLMs on real-world cases within …
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