Accessibility settings

This paper is in the following e-collection/theme issue:

Applications of AI (948) Clinical Cancer Research (240) Basic Cancer Research (82) Formative Evaluation of Digital Health Interventions (5109) AI Language Models in Health Care (738)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95081, first published .
Tumor Board meeting with LLM prompt on laptop screen.

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

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

Authors of this article:

Christoph Raphael Buhr1, 2 Author Orcid Image ;   Lukas Müller3 Author Orcid Image ;   Daniel Pinto dos Santos3 Author Orcid Image ;   Daniel Thiem4 Author Orcid Image ;   Jean-Jacques Ponciano1, 4 Author Orcid Image ;   Maximilian Krüger4 ;   Karoline O'Brien1 Author Orcid Image ;   Justus Kaufmann5 Author Orcid Image ;   Hildegard Nolte6 ;   Martin Gartenschläeger3 Author Orcid Image ;   Stefanie Zimmer7 ;   Sebastian Altmann8 ;   Andrew Blaikie2 Author Orcid Image ;   Christian Ruckes9 ;   Christoph Matthias1 Author Orcid Image ;   Sebastian Kuhn10 Author Orcid Image ;   Jonas Eckrich1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .