Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
Riccardo Bertolo, Lorenzo De Bon, Filippo Caudana, Greta Pettenuzzo, Sarah Malandra, Chiara Casolani, Andrea Zivi, Emanuela Fantinel, A Borsato, Riccardo Negrelli, Emiliano Salah El Din Tantawy, Giulia Volpi, Matteo Brunelli, Alessandro Veccia, Maria Angela Cerruto, Alessandro Antonelli, AOUI Verona Uro-Oncology Multi-Disciplinary Team
Abstract
We evaluated an AI chatbot's ability to suggest diagnostic and therapeutic pathways for renal cell carcinoma (RCC) in a multidisciplinary tumor board (MDT). A retrospective analysis of 103 cases (2023-2024) found 62.1% agreement with MDT decisions (κ = 0.44, p< 0.001). Concordance was highest in when follow-up imaging was suggested (p = 0.001), with disease status influencing agreement (p = 0.004). These results suggest AI could assist in RCC case assessments, warranting further research.