Evaluation of the quality and readability of ChatGPT responses to frequently asked questions about myopia in traditional Chinese language
| Autor: | Li-Chun Chang, Chi-Chin Sun, Ting-Han Chen, Der-Chong Tsai, Hui-Ling Lin, Li-Ling Liao |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Digital Health, Vol 10 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2055-2076 20552076 |
| DOI: | 10.1177/20552076241277021 |
| Popis: | Introduction ChatGPT can serve as an adjunct informational tool for ophthalmologists and their patients. However, the reliability and readability of its responses to myopia-related queries in the Chinese language remain underexplored. Purpose This study aimed to evaluate the ability of ChatGPT to address frequently asked questions (FAQs) about myopia by parents and caregivers. Method Myopia-related FAQs were input three times into fresh ChatGPT sessions, and the responses were evaluated by 10 ophthalmologists using a Likert scale for appropriateness, usability, and clarity. The Chinese Readability Index Explorer (CRIE) was used to evaluate the readability of each response. Inter-rater reliability among the reviewers was examined using Cohen's kappa coefficient, and Spearman's rank correlation analysis and one-way analysis of variance were used to investigate the relationship between CRIE scores and each criterion. Results Forty-five percent of the responses of ChatGPT in Chinese language were appropriate and usable and only 35% met all the set criteria. The CRIE scores for 20 ChatGPT responses ranged from 7.29 to 12.09, indicating that the readability level was equivalent to a middle-to-high school level. Responses about the treatment efficacy and side effects were deficient for all three criteria. Conclusions The performance of ChatGPT in addressing pediatric myopia-related questions is currently suboptimal. As parents increasingly utilize digital resources to obtain health information, it has become crucial for eye care professionals to familiarize themselves with artificial intelligence-driven information on pediatric myopia. |
| Databáze: | Directory of Open Access Journals |
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