Journals / Marmara Medical Journal / 2024 / Volume: 37 Issue: 3

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

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Publication Date
2024-10-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The overall reach of the answers by ChatGPT and The Specialist was 56.87±11.67 and 81.67±12.80 (p<0.001).

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: Patients widely use artificial intelligence-based chatbots, and this study aims to determine their utility and limitations on questions about strabismus.
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Key Findings & Data: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.
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Conclusion & Impact:The overall reach of the answers by ChatGPT and The Specialist was 56.87±11.67 and 81.67±12.80 (p<0.001).
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Artificial intelligence · ChatGPT · 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.

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Cite This Article

Yigit, D. 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, Volume: 37 Issue: 3. https://doi.org/10.5472/marumj.1571218

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