Natural language processing to automate a web-based model of care and modernize skin cancer multidisciplinary team meetings.

Journal: The British journal of surgery
Published Date: Jan 3, 2024

Abstract

BACKGROUND: Cancer multidisciplinary team (MDT) meetings are under intense pressure to reform given the rapidly rising incidence of cancer and national mandates for protocolized streaming of cases. The aim of this study was to validate a natural language processing (NLP)-based web platform to automate evidence-based MDT decisions for skin cancer with basal cell carcinoma as a use case.

Authors

  • Stephen R Ali
    Reconstructive Surgery and Regenerative Medicine Research Centre, Swansea University, Swansea, UK.
  • Thomas D Dobbs
    Reconstructive Surgery and Regenerative Medicine Research Centre, Swansea University, Swansea, UK.
  • Adib Tarafdar
    Reconstructive Surgery and Regenerative Medicine Research Centre, Institute of Life Sciences, Swansea University Medical School, Swansea, UK.
  • Huw Strafford
    Neurology and Molecular Neuroscience Group, Institute of Life Science, Swansea University Medical School, Swansea University, Swansea, UK.
  • Beata Fonferko-Shadrach
    Neurology and Molecular Neuroscience Group, Institute of Life Science, Swansea University Medical School, Swansea University, Swansea, UK.
  • Arron S Lacey
    Neurology and Molecular Neuroscience Group, Institute of Life Science, Swansea University Medical School, Swansea University, Swansea, UK.
  • William Owen Pickrell
    Neurology and Molecular Neuroscience Group, Institute of Life Science, Swansea University Medical School, Swansea University, Swansea, UK.
  • Hayley A Hutchings
    Swansea University Medical School, Swansea University, Swansea, UK.
  • Iain S Whitaker
    Reconstructive Surgery and Regenerative Medicine Research Centre, Swansea University, Swansea, UK.

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