Enhancing patient-centered care with AI: a study of responses to neuroendocrine neoplasms queries.

Journal: Endocrine
Published Date:

Abstract

INTRODUCTION: Large Language Models (LLMs) are increasingly used in oncology, but their application in neuroendocrine neoplasms (NENs) is still unexplored.

Authors

  • Francesco Panzuto
    Department of Medical-Surgical Sciences and Translational Medicine, Sapienza Università di Roma, Digestive Disease Unit, ENETS Center of Excellence, Sant'Andrea University Hospital, Rome, Italy. Electronic address: Francesco.panzuto@uniroma1.it.
  • Alessandro Gallo
    Department of Medical and Surgical Sciences, University of Catanzaro, Catanzaro, Italy.
  • Marco Marini
    Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
  • Maria Rinzivillo
    Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome. Digestive Disease Unit, Sant'Andrea University Hospital, ENETS Center of Excellence, Rome, Italy.
  • Manuela Albertelli
    Endocrinology, Department of Internal Medicine and Medical Specialties (DiMI), University of Genova, Genova, Italy.
  • Chiara Maria Grana
    Radiometabolic Therapy, Nuclear Medicine Division, IRCCS IEO Milano, Milano, Italy.
  • Marco Maccauro
    Nuclear Medicine Department, Foundation IRCCS, Istituto Nazionale Tumori, Milan, Italy.
  • Massimo Milione
    Filiberto Belli, Carlo Corbellini, Ermanno Leo, Colorectal Surgery Unit, National Cancer Institute, 20133 Milan, Italy.
  • Salvatore Tafuto
    Department of Sarcomas and Rare Tumors, Istituto Nazionale Tumori - IRCCS, Fondazione G. Pascale, Naples, Italy.
  • Simona Barbi
    NET-Italy ETS, Bologna, Italy.
  • Stefano Partelli
    Department of Sarcomas and Rare Tumors, Istituto Nazionale Tumori - IRCCS, Fondazione G. Pascale, Naples, Italy.