Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial Design.

Journal: Annals of surgery
Published Date: Aug 6, 2025

Abstract

OBJECTIVE: This study aimed to assess artificial intelligence (AI)-based synthetic data (SD) generation technology in surgery, evaluating the accuracy of the generated data and comparing the derived outcomes with real-world data.

Authors

  • Caterina Foppa
    Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
  • Saverio D'Amico
    IRCCS Istituto Clinico Humanitas, Milan, Italy.
  • Mattia Delleani
    Humanitas Clinical and Research Center-IRCCS, Milan, Italy.
  • Annalisa Maroli
    IRCCS Humanitas Research Hospital -, via Manzoni 56, 20089 Rozzano, Milan, Italy; Division of Colon and Rectal Surgery.
  • Victor Savevski
    Artificial Intelligence Center IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy.
  • Matteo Giovanni Della Porta
    Department of Biomedical Sciences, Humanitas University, Milan, Italy.
  • Michele Carvello
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy.
  • Marco Montorsi
    Department of General and Digestive Surgery, Humanitas Research Hospital and University, Rozzano, Milan, Italy. marco.montorsi@humanitas.it.
  • Alessandro Repici
    Digestive Endoscopy Unit, Division of Gastroenterology, Humanitas Clinical and Research Center IRCCS, Rozzano, 20089, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, MI, Italy.
  • Cesare Hassan
    Gastroenterology Unit, Nuovo Regina Margherita Hospital, Rome, Italy.
  • Antonino Spinelli
    Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.

Keywords

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