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Formative Evaluation of Digital Health Interventions (4895) Clinical Informatics (2122) Clinical Information and Decision Making (3512) Natural Language Processing (1223) Ontologies, Classifications, and Coding (415) Machine Learning (3025) Artificial Intelligence in Surgery and Perioperative Medicine (73) Ambient AI Scribes and AI-Driven Documentation Technologies (94)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87276, first published .
Dentist typing on laptop with dental, skeletal, and lip icons

Linguistic Fidelity and Classification Performance of Large Language Models for Generating Synthetic Operative Notes: Evaluation Study

Linguistic Fidelity and Classification Performance of Large Language Models for Generating Synthetic Operative Notes: Evaluation 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 , MBI ;   Elaine Lin   1 , BS ;   Nicholas Oleck   1 , MD ;   Carlee Jones   1 , CCC-SLP ;   Neill Y Li   2 , MD ;   Suhail K Mithani   1 , MD ;   Alexander C Allori   1 , MPH, MD

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, MPH, MD
  • 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@allorimd.info