Hostname: page-component-848d4c4894-ttngx Total loading time: 0 Render date: 2024-05-27T11:01:37.329Z Has data issue: false hasContentIssue false
  • English
  • Français

The role of ChatGPT in enhancing ENT surgical training – a trainees’ perspective

Published online by Cambridge University Press:  16 August 2023

Laura Brennan Open the ORCID record for Laura Brennan [Opens in a new window] ,
Ramkishan Balakumar  and
Warren Bennett
Laura Brennan*
Affiliation:
Department of ENT, St Michaels Hospital, University Hospitals Bristol and Weston, Bristol, UK
Ramkishan Balakumar
Affiliation:
Department of ENT, St Michaels Hospital, University Hospitals Bristol and Weston, Bristol, UK
Warren Bennett
Affiliation:
Department of ENT, St Michaels Hospital, University Hospitals Bristol and Weston, Bristol, UK
*
Corresponding author: Laura Brennan; Email: l.j.brennan94@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

Objective

ChatGPT, developed by Open AI (November 2022) is a powerful artificial intelligence language model, designed to produce human-like text from user-written prompts. Prompts must give context-specific information to produce valuable responses. Otolaryngology is a specialist field that sees limited exposure during undergraduate and postgraduate education. Additionally, otolaryngology trainees have seen a reduction in learning opportunities since the coronavirus disease 2019 pandemic.

Method

This article aims to give guidance on optimising the ChatGPT system in the context of education for otolaryngology by reviewing barriers to otolaryngology education and suggesting ways that ChatGPT can overcome them by providing examples using the authors’ experience.

Results

Overall, the authors saw that ChatGPT demonstrated some useful qualities, particularly with regards to assistance with communication skills and individualised patient responses.

Conclusion

Although ChatGPT cannot replace traditional mentorship and practical surgical experience, it can serve as an invaluable supplementary resource to education in otolaryngology.

Keywords

AI (artificial intelligence)medical educationotolaryngologytraining
Type
Main Article
Information
The Journal of Laryngology & Otology , Volume 138 , Issue 5 , May 2024 , pp. 480 - 486
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Laura Brennan takes responsibility for the integrity of the content of the paper

References

Biswas, S. ChatGPT and the future of medical writing. Radiology 2023;307:e22331210.1148/radiol.223312CrossRefGoogle ScholarPubMed
ChatGPT. In: https://chat.openai.com [3 May 2023]Google Scholar
Patel, SB, Lam, K. ChatGPT: the future of discharge summaries? Lancet Digit Health 2023;5:e107–810.1016/S2589-7500(23)00021-3CrossRefGoogle ScholarPubMed
Eysenbach, G. The role of ChatGPT, Generative language models, and artificial intelligence in medical education: a conversation with ChatGPT and a call for papers. JMIR Med Educ 2023;9:e46885CrossRefGoogle Scholar
Mayer, AW, Smith, KA, Carrie, S, Authors, C. A survey of ENT undergraduate teaching in the UK. J Laryngol Otol 2020;134:553–7CrossRefGoogle ScholarPubMed
Hayois, L, Dunsmore, A. Common and serious ENT presentations in primary care. InnovAiT 2023;16:79–86CrossRefGoogle Scholar
Hospital Admitted Patient Care Activity 2018-19. NDRS. In: https://digital.nhs.uk/data-and-information/publications/statistical/hospital-admitted-patient-care-activity/2018-19 [6 April 2023]Google Scholar
The UK otolaryngology trainees’ lived experience during the COVID-19 pandemic. In: ENT & Audiology News. https://www.entandaudiologynews.com/development/trainee-matters/post/the-uk-otolaryngology-trainees-lived-experience-during-the-covid-19-pandemic [16 April 2023]Google Scholar
Kaul, V, de Moraes A, Gallo, Khateeb, D, Greenstein, Y, Winter, G, Chae, J et al. Medical education during the Covid-19 pandemic. Chest 2021;159:1949–60CrossRefGoogle ScholarPubMed
Khan, S, Mian, A. Medical education: Covid-19 and surgery. Br J Surg 2020;107:e269CrossRefGoogle ScholarPubMed
The role of an open artificial intelligence platform in modern neurosurgical education: a preliminary study. In: https://link.springer.com/article/10.1007/s10143-023-01998-2 [17 April 2023]Google Scholar
Balel, Y. Can ChatGPT be used in oral and maxillofacial surgery? J Stomatol Oral Maxillofac Surg 2023;101471CrossRefGoogle ScholarPubMed
Sallam, M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare 2023;11:887CrossRefGoogle ScholarPubMed
Kumar, AH. Analysis of ChatGPT tool to assess the potential of its utility for academic writing in biomedical domain. BEMS Reports 2023;9:24–30CrossRefGoogle Scholar
Gilson, A, Safranek, CW, Huang, T, Socrates, V, Chi, L, Taylor, RA et al. How does ChatGPT perform on the United States medical licensing examination? The implications of large language models for medical education and knowledge assessment. JMIR Medical Education 2023;9:e45312CrossRefGoogle ScholarPubMed
Kung, TH, Cheatham, M, Medenilla, A, Sillos, C, Leon, LD, Elepaño, C et al. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digital Health 2023;2:e0000198CrossRefGoogle ScholarPubMed
ChatGPT for clinical vignette generation, revision, and evaluation. In: https://www.medrxiv.org/content/10.1101/2023.02.04.23285478v1 [2 May 2023]Google Scholar
Khan, RA, Jawaid, M, Khan, AR, Sajjad, M. ChatGPT - reshaping medical education and clinical management. Pak J Med Sci 2023;39:605–7CrossRefGoogle ScholarPubMed