Artificial intelligence-driven streamlining of prostate cancer multidisciplinary team recommendations in a tertiary NHS centre in the UK.

Journal: BJU international
Published Date: Jul 1, 2025

Abstract

OBJECTIVES: To evaluate the effectiveness of a rules-based artificial intelligence (AI) clinical decision support system (CDSS) called the PROState AI Cancer-Decision Support (PROSAIC-DS) in streamlining the prostate cancer multidisciplinary team (MDT) pathway by identifying patients meeting standard of care (SoC) guidelines for reduced discussion in MDT meetings.

Authors

  • Ahmed Khattak
    Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Danny Ruta
    Guy's Cancer, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Vivek Patkar
    Deontics Ltd., London, UK.
  • Rick Popert
    Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Jonathan Makanjuola
    Deontics Ltd., London, UK.
  • Martha Martin
    King's College Hospital, London, UK.
  • Lesedi Ledwaba-Chapman
    King's College London, London, UK.
  • Kate Dodgson
    King's College Hospital, London, UK.
  • Robert Oldroyd
    Nottingham Prostate Cancer Support Group, Nottingham, UK.
  • Jonathan Noel
    Global Robotics Institute, Advent Health Celebration Health, Celebration, Florida, USA.
  • Paul Cathcart
    Department of Urology and Division of Surgery and Interventional Science, University College London Hospital, London, UK.
  • Simon Hughes
    Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Ben Challacombe
  • Deborah Josephs
    Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Deborah Enting
    Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Elias Pintus
    Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Ruth McCarthy
    Somerset Cancer Registry, Taunton, UK.
  • Majid Kazmi
    Guy's and St Thomas' NHS Foundation Trust, London, UK.

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