New Frontiers of Natural Language Processing in Surgery.

Journal: The American surgeon
Published Date: Aug 15, 2022

Abstract

The vast and ever-growing volume of electronic health records (EHR) have generated a wealth of information-rich data. Traditional, non-machine learning data extraction techniques are error-prone and laborious, hindering the analytical potential of these massive data sources. Equipped with natural language processing (NLP) tools, surgeons are better able to automate, and customize their review to investigate and implement surgical solutions. We identify current perioperative applications of NLP algorithms as well as research limitations and future avenues to outline the impact and potential of this technology for progressing surgical innovation.

Authors

  • Miranda X Morris
    12277Duke University School of Medicine, Durham, NC, USA.
  • Ethan Y Song
    Division of Plastic, Maxillofacial, and Oral Surgery, Department of Surgery, 14742Duke University Hospital, Durham, NC, USA.
  • Aashish Rajesh
    Department of Surgery, University of Texas Health Science Center, San Antonio, TX, USA.
  • Nicolas Kass
    12317University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Malke Asaad
    From the Division of Plastic Surgery, Department of Surgery, Mayo Clinic; the Division of Plastic Surgery, Department of Surgery, Sidra Medicine; and the Department of Surgery, Weill-Cornell Medical College-Qatar.
  • Brett T Phillips
    Division of Plastic, Maxillofacial, and Oral Surgery, Department of Surgery, 14742Duke University Hospital, Durham, NC, USA.

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