Artificial intelligence outperforms human students in conducting neurosurgical audits.

Journal: Clinical neurology and neurosurgery
Published Date: May 1, 2020

Abstract

OBJECTIVES: Neurosurgical audits are an important part of improving the safety, efficiency and quality of care but require considerable resources, time, and funding. To that end, the advent of the Artificial Intelligence-based algorithms offered a novel, more economically viable solution. The aim of the study was to evaluate whether the algorithm can indeed outperform humans in that task.

Authors

  • Maksymilian A Brzezicki
    Bristol Institute of Clinical Neurosciences, University of Bristol, Southmead Hospital, Bristol, UK. Electronic address: mbrzezicki@neurologicalsociety.org.
  • Nicholas E Bridger
    Faculty of Health Sciences, University of Bristol, UK. Electronic address: nb12345@my.bristol.ac.uk.
  • Matthew D Kobetić
    Faculty of Health Sciences, University of Bristol, Bristol, UK.
  • Maciej Ostrowski
    Medical University of Lodz, Lodz, Poland. Electronic address: exegacek@gmail.com.
  • Waldemar Grabowski
    Institute of Physics, University of Zielona Gora, Zielona Gora, Poland. Electronic address: wgrabowski@gmail.com.
  • Simran S Gill
    St. George's, University of London Medical School, London, UK. Electronic address: m1500843@sgul.ac.uk.
  • Sandra Neumann
    Department of Physiology and Pharmacology, Clinical Research and Imaging Centre, University of Bristol, Bristol, UK.

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