Publications

Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience  (2025)

Authors:
Bertolo, Riccardo; De Bon, Lorenzo; Caudana, Filippo; Pettenuzzo, Greta; Malandra, Sarah; Casolani, Chiara; Zivi, Andrea; Fantinel, Emanuela; Borsato, Alessandro; Negrelli, Riccardo; Salah El Din Tantawy, Emiliano; Volpi, Giulia; Brunelli, Matteo; Veccia, Alessandro; Cerruto, Maria Angela; Antonelli, Alessandro
Title:
Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
Year:
2025
Type of item:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Language:
Inglese
Format:
Elettronico
Referee:
No
Name of journal:
NPJ PRECISION ONCOLOGY
ISSN of journal:
2397-768X
N° Volume:
9
Number or Folder:
1
Page numbers:
1-4
Keyword:
Oncology, renal cell carcinoma (RCC)
Short description of contents:
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.
Product ID:
146955
Handle IRIS:
11562/1168627
Last Modified:
August 21, 2025
Bibliographic citation:
Bertolo, Riccardo; De Bon, Lorenzo; Caudana, Filippo; Pettenuzzo, Greta; Malandra, Sarah; Casolani, Chiara; Zivi, Andrea; Fantinel, Emanuela; Borsato, Alessandro; Negrelli, Riccardo; Salah El Din Tantawy, Emiliano; Volpi, Giulia; Brunelli, Matteo; Veccia, Alessandro; Cerruto, Maria Angela; Antonelli, Alessandro, Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience «NPJ PRECISION ONCOLOGY» , vol. 9 , n. 12025pp. 1-4

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

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