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<p>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, <i>p</i>&lt; 0.001). Concordance was highest in when follow-up imaging was suggested (<i>p</i> = 0.001), with disease status influencing agreement (<i>p</i> = 0.004). These results suggest AI could assist in RCC case assessments, warranting further research.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月24日

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  • 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

摘要

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.