Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience

Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience

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 hi...

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Main Authors: Riccardo Bertolo, Lorenzo De Bon, Filippo Caudana, Greta Pettenuzzo, Sarah Malandra, Chiara Casolani, Andrea Zivi, Emanuela Fantinel, Alessandro 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
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-01014-4
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Summary: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.
ISSN:2397-768X

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