Large Language Model Versus Human-Generated Thematic Analysis in Otolaryngology Qualitative Research.

IF 2.2 3区医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL

Laryngoscope Pub Date : 2024-11-04 DOI:10.1002/lary.31894

Elliot Morse, Alexandra Li, Sara Albert, Lexa Harpel, Anaïs Rameau

引用次数: 0

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耳鼻喉科定性研究中的大语言模型与人工生成的主题分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Laryngoscope 医学-耳鼻喉科学

CiteScore

6.50

自引率

7.70%

发文量

500

审稿时长

2-4 weeks

期刊介绍： The Laryngoscope has been the leading source of information on advances in the diagnosis and treatment of head and neck disorders since 1890. The Laryngoscope is the first choice among otolaryngologists for publication of their important findings and techniques. Each monthly issue of The Laryngoscope features peer-reviewed medical, clinical, and research contributions in general otolaryngology, allergy/rhinology, otology/neurotology, laryngology/bronchoesophagology, head and neck surgery, sleep medicine, pediatric otolaryngology, facial plastics and reconstructive surgery, oncology, and communicative disorders. Contributions include papers and posters presented at the Annual and Section Meetings of the Triological Society, as well as independent papers, "How I Do It", "Triological Best Practice" articles, and contemporary reviews. Theses authored by the Triological Society’s new Fellows as well as papers presented at meetings of the American Laryngological Association are published in The Laryngoscope. • Broncho-esophagology • Communicative disorders • Head and neck surgery • Plastic and reconstructive facial surgery • Oncology • Speech and hearing defects