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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.
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http://dx.doi.org/10.1177/20552076241277021 | DOI Listing |
Disabil Rehabil Assist Technol
September 2025
International Communication College, Jilin International Studies University, Changchun, Jilin, China.
Background: Conventional automated writing evaluation systems typically provide insufficient support for students with special needs, especially in tonal language acquisition such as Chinese, primarily because of rigid feedback mechanisms and limited customisation.
Objective: This research develops context-aware Hierarchical AI Tutor for Writing Enhancement(CHATWELL), an intelligent tutoring platform that incorporates optimised large language models to deliver instantaneous, customised, and multi-dimensional writing assistance for Chinese language learners, with special consideration for those with cognitive learning barriers.
Methods: CHATWELL employs a hierarchical AI framework with a four-tier feedback mechanism designed to accommodate diverse learning needs.
Health Inf Sci Syst
December 2025
Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000 China.
Leveraging natural language processing to identify anxiety states from social media has been widely studied. However, existing research lacks deep user-level semantic modeling and effective anxiety feature extraction. Additionally, the absence of clinical domain knowledge in current models limits their interpretability and medical relevance.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Diagnosis and Treatment Center for Children, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin Province, China.
Rationale: Phelan-McDermid syndrome, also known as chromosome 22q13.3 deletion syndrome, is a genetic disorder primarily caused by a chromosome 22q13.3 deletion or mutation.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
School of Sports Science and Technology, Guangzhou College of Applied Science and Technology, Guangdong, China.
Objective: This study combines a bibliometric analysis with an umbrella review to delineate the research landscape, hotspots, and emerging trends in the application of artificial intelligence to the clinical diagnosis and treatment of mild cognitive impairment.
Methods: We searched the Web of Science Core Collection for literature published between 2004 and 2024. Bibliometric analysis of the retrieved publications was performed using CiteSpace and VOSviewer to map publication trends, international collaboration networks, key contributors, and keyword co-occurrence.
Zhonghua Yan Ke Za Zhi
September 2025
Department of traditional Chinese medicine, Second Affiliated Hospital of Jiaxing University, Jiaxing 314000, China.
To assess the current research status of retinal vein occlusion (RVO) and to explore its research trends and hotspots based on bibliometrics. A bibliometric study was conducted on April 25, 2024, retrieving articles from China National Knowledge Infrastructure (CNKI), Wanfang, and Web of Science Core Collection covering 2014 to 2023. CiteSpace, VOSviewer, and Microsoft Excel were used for visualization and analysis of annual publications, country distribution, author productivity, journals, cited references, and keywords.
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