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This paper is in the following e-collection/theme issue:

Natural Language Processing (985) Clinical Information and Decision Making (2128) Surgery, Trauma and Surgical Sciences (227) Machine Learning (2289) Artificial Intelligence in Surgery and Perioperative Medicine (51) Applications of AI (371)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87133, first published .
Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study

Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study

Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study

Authors of this article:

Meredith Cox1 Author Orcid Image ;   Elaine Lin1 Author Orcid Image ;   Nicholas Oleck1 Author Orcid Image ;   Carlee Jones1 Author Orcid Image ;   Neill Y Li2 Author Orcid Image ;   Suhail K Mithani1 Author Orcid Image ;   Alexander C Allori1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Meredith Cox   1 , MS ;   Elaine Lin   1 , MD ;   Nicholas Oleck   1 , MD ;   Carlee Jones   1 , CCC-SLP ;   Neill Y Li   2 , MD ;   Suhail K Mithani   1 , MD ;   Alexander C Allori   1 , MD, MPH

1 Division of Plastic, Oral, and Maxillofacial Surgery, Duke University Hospital, Durham, NC, United States

2 Department of Orthopaedic Surgery, Duke University Hospital, Durham, NC, United States

Corresponding Author:

  • Alexander C Allori, MD, MPH
  • Division of Plastic, Oral, and Maxillofacial Surgery
  • Duke University Hospital
  • 2301 Erwin Road
  • Durham, NC 27710
  • United States
  • Phone: 1 919-668-3110
  • Email: alexander.allori@duke.edu