Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient's satisfaction with therapy: The CINDERELLA trial.

Journal: PloS one
PMID: 37535564

Abstract

BACKGROUND: Breast cancer therapy improved significantly, allowing for different surgical approaches for the same disease stage, therefore offering patients different aesthetic outcomes with similar locoregional control. The purpose of the CINDERELLA trial is to evaluate an artificial-intelligence (AI) cloud-based platform (CINDERELLA platform) vs the standard approach for patient education prior to therapy.

Authors

  • Orit Kaidar-Person
    Radiation Oncology Unit, Breast Radiation Unit, Sheba Tel Ha'shomer, Ramat Gan, Israel.
  • Marilia Antunes
    Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
  • Jaime S Cardoso
  • Oriana Ciani
    Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal.
  • Helena Cruz
    Faculty of Engineering, University of Porto (FEUP), Porto, Portugal.
  • Rosa Di Micco
    Breast Surgery Unit, San Raffaele University and Research Hospital, Milano, Italy.
  • Oreste D Gentilini
    Breast Surgery Unit, San Raffaele University and Research Hospital, Milano, Italy.
  • Tiago Gonçalves
    Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi University, Milan, Italy.
  • Pedro Gouveia
    Faculty of Engineering, University of Porto (FEUP), Porto, Portugal.
  • Jörg Heil
    Instituto Universitario de Lisboa (ISCTE), Lisboa, Portugal.
  • Pawel Kabata
    CANKADO GmbH, Ottobrunn, Germany.
  • Daniela Lopes
    Faculty of Engineering, University of Porto (FEUP), Porto, Portugal.
  • Marta Martinho
    Faculty of Engineering, University of Porto (FEUP), Porto, Portugal.
  • Henrique Martins
    Faculty of Engineering, University of Porto (FEUP), Porto, Portugal.
  • Carlos Mavioso
    Breast Unit, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal. Electronic address: http://www.fchampalimaud.org.
  • Martin Mika
    Department of Surgical Oncology, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland.
  • Helena Montenegro
    Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi University, Milan, Italy.
  • Hélder P Oliveira
    INESC TEC, Porto, Portugal; Faculdade de Ciências da Universidade Do Porto, Porto, Portugal.
  • André Pfob
    University Breast Unit, Department of Obstetrics and Gynecology, Heidelberg University Hospital, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
  • Nicole Rotmensz
    Breast Surgery Unit, San Raffaele University and Research Hospital, Milano, Italy.
  • Timo Schinköthe
    Department of Surgical Oncology, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland.
  • Giovani Silva
    Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
  • Rosana Tarricone
    Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal.
  • Maria-Joao Cardoso
    Faculty of Engineering, University of Porto (FEUP), Porto, Portugal.

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