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.
· JMIR AI · 0 citations