Large Language Models and Otolaryngology

LLMs hold significant promise to enhance biomedical research and patient care. Otolaryngology, with its rich clinical, functional, and multimodal data, is well positioned to benefit from these tools. However, progress requires moving beyond feasibility studies toward clinical trial-like validation and implementation research. Future efforts should prioritize open-source model development, domain-specific fine-tuning, secure multi-institutional deployment, and legal oversight to ensure transparency, reproducibility, and generalizability. By aligning with advancements in other specialties, otolaryngology can leverage its unique resources to pioneer responsible LLM applications that improve efficiency, augment decision support, and transform patient outcomes.

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Publication Details

Journal
JAMA Otolaryngology–Head & Neck Surgery
Published
2026-02-05
DOI
https://doi.org/10.1001/jamaoto.2025.5335
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Large Language Models and Otolaryngology

Cole Pavelchek, Mona Jawad, Inez Y. Oh, Matthew Shew et al.
JAMA Otolaryngology–Head & Neck Surgery
Artificial Intelligence in Healthcare and Education
article

Large Language Models and Otolaryngology

Cole Pavelchek, Mona Jawad, Inez Y. Oh, Matthew Shew, James W. Bao, Aditi Gupta, William J. B. Powell
article en

Abstract

LLMs hold significant promise to enhance biomedical research and patient care. Otolaryngology, with its rich clinical, functional, and multimodal data, is well positioned to benefit from these tools. However, progress requires moving beyond feasibility studies toward clinical trial-like validation and implementation research. Future efforts should prioritize open-source model development, domain-specific fine-tuning, secure multi-institutional deployment, and legal oversight to ensure transparency, reproducibility, and generalizability. By aligning with advancements in other specialties, otolaryngology can leverage its unique resources to pioneer responsible LLM applications that improve efficiency, augment decision support, and transform patient outcomes.

JAMA Otolaryngology–Head & Neck Surgery
Oregon Health & Science University (US), Washington University in St. Louis (US), Digital China Health (China) (CN)
Openalex Percentile: Top 67%
Artificial Intelligence in Healthcare and Education
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Large Language Models and Otolaryngology — Cole Pavelchek, Mona Jawad, et al. · JAMA Otolaryngology–Head & Neck Surgery (2026) | TGRS Research Map | TGRS