Natural Language Processing in Spine Surgery: A Systematic Review of Applications, Bias, and Reporting Transparency.

Journal: World neurosurgery
Published Date: Aug 30, 2022

Abstract

BACKGROUND: Natural language processing (NLP) is a discipline of machine learning concerned with the analysis of language and text. Although NLP has been applied to various forms of clinical text, the applications and utility of NLP in spine surgery remain poorly characterized. Here, we systematically reviewed studies that use NLP for spine surgery applications, and analyzed applications, bias, and reporting transparency of the studies.

Authors

  • Bonnie B Huang
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Jonathan Huang
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.
  • Kevin N Swong
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA. Electronic address: kevin.swong@nm.org.

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