Artificial INtelligence to Support Informed DEcision-making (INSIDE) for Improved Literature Analysis in Oncology.

Journal: European urology focus
Published Date: Jun 13, 2024

Abstract

BACKGROUND: Defining optimal therapeutic sequencing strategies in prostate cancer (PC) is challenging and may be assisted by artificial intelligence (AI)-based tools for an analysis of the medical literature.

Authors

  • Arnulf Stenzl
    Department of Urology, University Hospital of Tübingen, Tübingen, Germany.
  • Andrew J Armstrong
    Duke Cancer Institute Center for Prostate and Urologic Cancer, Division of Medical Oncology, Department of Medicine, Duke University, Durham, NC.
  • Andrea Sboner
    Institute for Precision Medicine.
  • Jenny Ghith
    Pfizer Inc, Collegeville, PA, USA.
  • Lucile Serfass
    Pfizer Oncology, Paris, France.
  • Christopher S Bland
    Pfizer Inc, Collegeville, PA, USA.
  • Bob J A Schijvenaars
    Digital Science, London, UK.
  • Cora N Sternberg
    Department of Medicine, Englander Institute for Precision Medicine, Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA. Electronic address: cns9006@med.cornell.edu.

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