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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author 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
author_facet 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
author_sort Riccardo Bertolo
collection DOAJ
description 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.
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institution Kabale University
issn 2397-768X
language English
publishDate 2025-07-01
publisher Nature Portfolio
record_format Article
series npj Precision Oncology
spelling doaj-art-bf9d0e3c299d4bbfbc9c26bc0766ee822025-08-20T03:42:23ZengNature Portfolionpj Precision Oncology2397-768X2025-07-01911410.1038/s41698-025-01014-4Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experienceRiccardo Bertolo0Lorenzo De Bon1Filippo Caudana2Greta Pettenuzzo3Sarah Malandra4Chiara Casolani5Andrea Zivi6Emanuela Fantinel7Alessandro Borsato8Riccardo Negrelli9Emiliano Salah El Din Tantawy10Giulia Volpi11Matteo Brunelli12Alessandro Veccia13Maria Angela Cerruto14Alessandro Antonelli15AOUI Verona Uro-Oncology Multi-Disciplinary TeamDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Medicine, Section of Oncology, Azienda Ospedaliera Universitaria IntegrataDepartment of Medicine, Section of Oncology, Azienda Ospedaliera Universitaria IntegrataUnit of Radiology, Azienda Ospedaliera Universitaria IntegrataUnit of Radiology, Azienda Ospedaliera Universitaria IntegrataUnit of Radiation Oncology, Azienda Ospedaliera Universitaria Integrata VeronaUnit of Radiation Oncology, Azienda Ospedaliera Universitaria Integrata VeronaDepartment of Diagnostic and Public Health, Section of Pathology, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaDepartment of Surgery, Dentistry, Pediatrics and Gynecology, Urology Unit, Azienda Ospedaliera Universitaria Integrata, University of VeronaAbstract 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.https://doi.org/10.1038/s41698-025-01014-4
spellingShingle 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
Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
npj Precision Oncology
title Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
title_full Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
title_fullStr Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
title_full_unstemmed Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
title_short Role of large language models in the multidisciplinary decision-making process for patients with renal cell carcinoma: a pilot experience
title_sort role of large language models in the multidisciplinary decision making process for patients with renal cell carcinoma a pilot experience
url https://doi.org/10.1038/s41698-025-01014-4
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