Examining otolaryngologists’ attitudes towards large language models (LLMs) such as ChatGPT: a comprehensive deep learning analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine,Otorhinolaryngology
Link
https://link.springer.com/content/pdf/10.1007/s00405-023-08325-x.pdf
Reference12 articles.
1. Hoch CC, Wollenberg B, Lüers J-C, Knoedler S, Knoedler L, Frank K, Cotofana S, Alfertshofer M (2023) ChatGPT’s quiz skills in different otolaryngology subspecialties: an analysis of 2576 single-choice and multiple-choice board certification preparation questions. Eur Arch Otorhinolaryngol. https://doi.org/10.1007/s00405-023-08051-4
2. Sohail SS, Farhat F, Himeur Y, Nadeem M, Madsen DØ, Singh Y, Atalla S, Mansoor W (2023) Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions. J King Saud Univ Comput Inf Sci. https://doi.org/10.1016/j.jksuci.2023.101675
3. Praveen SV, Vajrobol V (2023) Understanding the perceptions of healthcare researchers regarding ChatGPT: a study based on bidirectional encoder representation from transformers (BERT) sentiment analysis and topic modeling. Ann Biomed Eng. https://doi.org/10.1007/s10439-023-03222-0
4. Praveen SV, Ittamalla R, Mahitha M, Spoorthi K (2022) Trauma and stress associated with breast cancer survivors—a natural language processing study. J Loss Trauma. https://doi.org/10.1080/15325024.2022.2058838
5. SV Praveen., Ittamalla R. (2021) Analyzing Indian citizen’s perspective towards government using wearable sensors to tackle COVID-19 crisis—a text analytics study. Health Policy Technol. https://doi.org/10.1016/j.hlpt.2021.100521
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