AI Article Synopsis
- The study evaluated how well ChatGPT-4 answered common questions about strabismus and amblyopia, focusing on both the quality of responses and their readability.
- Of all responses assessed, 97% were deemed acceptable by pediatric ophthalmologists, with only 3% classified as incomplete, and no unacceptable responses found.
- The readability scores indicated that understanding the responses required a college-level education, suggesting a need for improvement to make the information more accessible to a general audience.
Article Abstract
Purpose: To evaluate the compatibility and readability of ChatGPT-4 in providing responses to common inquiries about strabismus and amblyopia.
Materials And Methods: A series of commonly asked questions were compiled, covering topics such as the definition, prevalence, diagnostic approaches, surgical and non-surgical treatment alternatives, postoperative guidelines, surgery-related risks, and visual prognosis associated with strabismus and amblyopia. Each question was asked three times on the online ChatGPT-4 platform both in English and French, with data collection conducted on February 18, 2024. The responses generated by ChatGPT-4 were evaluated by two independent pediatric ophthalmologists, who classified them as "acceptable," "unacceptable," or "incomplete." Additionally, an online readability assessment tool called "readable" was utilized for readability analysis.
Results: The majority of responses, totaling 97% of the questions regarding strabismus and amblyopia, consistently met the criteria for acceptability. Only 3% of responses were classified as incomplete, with no instances of unacceptable responses observed. The average Flesch-Kincaid Grade Level and Flesch Reading Ease Score were calculated as 14.53±1.8 and 23.63±8.2, respectively. Furthermore, the means for all readability indices, including the Coleman-Liau index, the Gunning Fog index, and the SMOG index, were found to be 15.75±1.4, 16.96±2.4, and 16.05±1.6, respectively.
Conclusions: ChatGPT-4 consistently produced acceptable responses to the majority of the questions asked (97%). Nevertheless, the readability of these responses proved challenging for the average layperson, requiring a college-level education for comprehension. Further improvements, particularly in terms of readability, are necessary to enhance the advisory capacity of this AI software in providing eye and health-related guidance for patients, physicians, and the general public.
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| http://dx.doi.org/10.1016/j.jfo.2024.104400 | DOI Listing |
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