Comparing large language models in predicting multi-disciplinary team meeting outcomes

Multidisciplinary team meetings (MDT) are an essential part of modern cancer care, involving multiple specialists discussing patient diagnosis and management. Increased workloads and complexity of patients and treatment put pressure on these meetings, worsened by other clinical commitment pressures. Large language models (LLMs) are able to understand large amount of information and respond to specific queries and prompts and are beginning to be used as adjuncts to clinical care.

Citation

Badenoch, T., & Oliver-Blaney, C. (2025). Comparing large language models in predicting multi-disciplinary team meeting outcomes. European Journal of Surgical Oncology, 51(Supplement), Article 109811. https://doi.org/10.1016/j.ejso.2025.109811

DOI

10.1016/j.ejso.2025.109811

URI

https://hdl.handle.net/20.500.14709/350