Domain-Specific Customization for Language Models in Otolaryngology: The ENT GPT Assistant.

Journal: OTO open
Published Date: May 5, 2025

Abstract

OBJECTIVE: To develop and evaluate the effectiveness of domain-specific customization in large language models (LLMs) by assessing the performance of the ENT GPT Assistant (E-GPT-A), a model specifically tailored for otolaryngology.

Authors

  • Brenton T Bicknell
    UAB Heersink School of Medicine University of Alabama at Birmingham Birmingham Alabama USA.
  • Nicholas J Rivers
    Department of Otolaryngology-Head and Neck Surgery University of Alabama at Birmingham Birmingham Alabama USA.
  • Adam Skelton
    UAB Heersink School of Medicine University of Alabama at Birmingham Birmingham Alabama USA.
  • Delaney Sheehan
    Department of Otolaryngology-Head and Neck Surgery University of Alabama at Birmingham Birmingham Alabama USA.
  • Charis Hodges
    UAB Heersink School of Medicine University of Alabama at Birmingham Birmingham Alabama USA.
  • Stevan C Fairburn
    UAB Heersink School of Medicine University of Alabama at Birmingham Birmingham Alabama USA.
  • Benjamin J Greene
    Department of Otolaryngology-Head and Neck Surgery University of Alabama at Birmingham Birmingham Alabama USA.
  • Bharat Panuganti
    Department of Otolaryngology-Head and Neck Surgery Washington University in St. Louis St. Louis Missouri USA.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals