Research Article

ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability

Volume: 37 Number: 3 October 30, 2024
EN

ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability

Abstract

Objective: Patients widely use artificial intelligence-based chatbots, and this study aims to determine their utility and limitations on questions about strabismus. The answers to the common questions about the management of strabismus provided by Chat Generative Pre-trained Transformer (ChatGPT)-3.5, an artificial intelligence-powered chatbot, were compared to answers from a strabismus specialist (The Specialist) in terms of appropriateness and readability. Patients and Methods: In this descriptive, cross-sectional study, a list of questions from strabismus patients or caregivers in outpatient clinics about treatment, prognosis, postoperative care, and complications were subjected to ChatGPT and The Specialist. The answers of ChatGPT were classified as appropriate or not, considering the answers of The Specialist as the reference. The readability of all the answers was assessed according to the parameters of the Readable online toolkit. Results: All answers provided by ChatGPT were classified as appropriate. The mean Flesch Kincaid Grade Levels of the respective answers given by ChatGPT and The Specialist were 13.75±1.55 and 10.17±2.17 (p<0.001), higher levels indicating complexity; and the mean Flesch Reading Ease Scores of which higher scores indicated ease, were 23.86±9.38 and 44.54±14.66 (p=0.002). The mean reading times were 15.6±2.85 and 10.17±2.17 seconds for ChatGPT and The Specialist, respectively (p=0.003). The overall reach of the answers by ChatGPT and The Specialist was 56.87±11.67 and 81.67±12.80 (p<0.001). Conclusion: Although, ChatGPT provided appropriate answers to all compiled strabismus questions, those were complex or very difficult to read for an average person. The readability scores indicated a college graduation degree would be required to understand the answers provided by ChatGPT. However, The Specialist gave similar information in a more readable form. Therefore, physicians and patients should consider the limitations of such similar platforms for ocular health-related questions.

Keywords

References

  1. Korngiebel DM, Mooney SD. Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery. NPJ Digit Med 2021; 4: 93. doi:10.1038/ s41746.021.00464-x.
  2. Momenaei B, Wakabayashi T, Shahlaee A, et al. Appropriateness and readability of ChatGPT-4-generated responses for surgical treatment of retinal diseases. Ophthalmol Retina 2023; 7: 862- 8. doi:10.1016/j.oret.2023.05.022.
  3. Sarraju A, Bruemmer D, Van Iterson E, et al. Appropriateness of cardiovascular disease prevention recommendations obtained from a popular online chat-based artificial intelligence model. JAMA 2023; 329: 842-4. doi:10.1001/jama.2023.1044.
  4. OpenAI. ChatGPT. Computer software. 2022. https://openai. com/blog/ChatGPT. Accessed on 03 December, 2023.
  5. Teebagy S, Colwell L, Wood E, et al. Improved performance of ChatGPT-4 on the OKAP examination: A comparative study with ChatGPT-3.5. J Acad Ophthalmol (2017) 2023; 15: e184-e187. doi:10.1055/s-0043.177.4399.
  6. Fitzsimmons PR, Michael BD, Hulley JL, et al. A readability assessment of online Parkinson’s disease information. J R Coll Physicians Edinb 2010; 40: 292-6. doi:10.4997/ JRCPE.2010.401
  7. Kloosterboer A, Yannuzzi NA, Patel NA, et al. Assessment of the quality, content, and readability of freely available online information for patients regarding diabetic retinopathy. JAMA Ophthalmol 2019; 137: 1240-5. doi:10.1001/ jamaophthalmol.2019.3116.
  8. Patel AJ, Kloosterboer A, Yannuzzi NA, et al. Evaluation of the content, quality, and readability of patient accessible online resources regarding cataracts. Semin Ophthalmol 2021; 36: 384-91. doi:10.1080/08820.538.2021.1893758.

Details

Primary Language

English

Subjects

Surgery (Other)

Journal Section

Research Article

Publication Date

October 30, 2024

Submission Date

April 20, 2024

Acceptance Date

May 22, 2024

Published in Issue

Year 2024 Volume: 37 Number: 3

APA
Dizdar Yigit, D., Aykut, A., Sevik, M. O., & Çerman, E. (2024). ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability. Marmara Medical Journal, 37(3), 323-326. https://doi.org/10.5472/marumj.1571218
AMA
1.Dizdar Yigit D, Aykut A, Sevik MO, Çerman E. ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability. Marmara Med J. 2024;37(3):323-326. doi:10.5472/marumj.1571218
Chicago
Dizdar Yigit, Didem, Aslan Aykut, Mehmet Orkun Sevik, and Eren Çerman. 2024. “ChatGPT versus Strabismus Specialist on Common Questions about Strabismus Management: A Comparative Analysis of Appropriateness and Readability”. Marmara Medical Journal 37 (3): 323-26. https://doi.org/10.5472/marumj.1571218.
EndNote
Dizdar Yigit D, Aykut A, Sevik MO, Çerman E (October 1, 2024) ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability. Marmara Medical Journal 37 3 323–326.
IEEE
[1]D. Dizdar Yigit, A. Aykut, M. O. Sevik, and E. Çerman, “ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability”, Marmara Med J, vol. 37, no. 3, pp. 323–326, Oct. 2024, doi: 10.5472/marumj.1571218.
ISNAD
Dizdar Yigit, Didem - Aykut, Aslan - Sevik, Mehmet Orkun - Çerman, Eren. “ChatGPT versus Strabismus Specialist on Common Questions about Strabismus Management: A Comparative Analysis of Appropriateness and Readability”. Marmara Medical Journal 37/3 (October 1, 2024): 323-326. https://doi.org/10.5472/marumj.1571218.
JAMA
1.Dizdar Yigit D, Aykut A, Sevik MO, Çerman E. ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability. Marmara Med J. 2024;37:323–326.
MLA
Dizdar Yigit, Didem, et al. “ChatGPT versus Strabismus Specialist on Common Questions about Strabismus Management: A Comparative Analysis of Appropriateness and Readability”. Marmara Medical Journal, vol. 37, no. 3, Oct. 2024, pp. 323-6, doi:10.5472/marumj.1571218.
Vancouver
1.Didem Dizdar Yigit, Aslan Aykut, Mehmet Orkun Sevik, Eren Çerman. ChatGPT versus strabismus specialist on common questions about strabismus management: a comparative analysis of appropriateness and readability. Marmara Med J. 2024 Oct. 1;37(3):323-6. doi:10.5472/marumj.1571218

Cited By