Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
Anno:
2025
Tipologia prodotto:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Lingua:
Inglese
Formato:
Elettronico
Referee:
No
Nome rivista:
NPJ PRECISION ONCOLOGY
ISSN Rivista:
2397-768X
N° Volume:
9
Numero o Fascicolo:
1
Intervallo pagine:
1-4
Parole chiave:
Oncology, renal cell carcinoma (RCC)
Breve descrizione dei contenuti:
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 (kappa = 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.