Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality
ObjectiveThis study aimed to assess the quality and readability of patient education on congenital cataracts provided by Google, ChatGPT, and clinical doctors. Given the rarity of congenital cataracts and the need for accessible, accurate information for parents, we sought to evaluate the platforms’...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2025.1548385/full |
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| author | Xuanqiao Lin Xuanqiao Lin Xuanqiao Lin Xuanqiao Lin Lifang Bai Lifang Bai Lifang Bai Lifang Bai Xiaohuan Zhao Xiaohuan Zhao Xiaohuan Zhao Xiaohuan Zhao Lei Cai Lei Cai Lei Cai Lei Cai Jin Yang Jin Yang Jin Yang Jin Yang |
| author_facet | Xuanqiao Lin Xuanqiao Lin Xuanqiao Lin Xuanqiao Lin Lifang Bai Lifang Bai Lifang Bai Lifang Bai Xiaohuan Zhao Xiaohuan Zhao Xiaohuan Zhao Xiaohuan Zhao Lei Cai Lei Cai Lei Cai Lei Cai Jin Yang Jin Yang Jin Yang Jin Yang |
| author_sort | Xuanqiao Lin |
| collection | DOAJ |
| description | ObjectiveThis study aimed to assess the quality and readability of patient education on congenital cataracts provided by Google, ChatGPT, and clinical doctors. Given the rarity of congenital cataracts and the need for accessible, accurate information for parents, we sought to evaluate the platforms’ effectiveness in delivering relevant health information.Methods and analysisWe developed two question banks related to congenital cataracts from different sources. Responses from Google, ChatGPT, and two doctors were evaluated across five criteria: correctness, completeness, readability, helpfulness, and safety. An ophthalmologist panel used a five-point Likert scale to score these responses. The readability of responses was also assessed using passage and readability statistics, with additional readability enhancements applied to ChatGPT responses.ResultsThe ChatGPT responses demonstrated similar quality to those from experienced doctors, particularly excelling in readability, which was enhanced further with simplification techniques. Resident doctors provided the most readable doctor responses, while Google results scored the lowest across all five evaluative criteria. Post-enhancement, ChatGPT responses showed significant improvements in readability and maintained response quality.ConclusionChatGPT is a promising tool for delivering accessible, accurate information on congenital cataracts, especially for populations with lower health literacy. This study underscores the value of AI in healthcare education for rare conditions and highlights the need for consulting multiple information sources for comprehensive health guidance. ChatGPT, with readability enhancements, stands out as a particularly effective resource for public health information on congenital cataracts. |
| format | Article |
| id | doaj-art-c7ee48b0e52b40d08e8f76883a6fb360 |
| institution | DOAJ |
| issn | 2624-8212 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-c7ee48b0e52b40d08e8f76883a6fb3602025-08-20T03:07:17ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122025-06-01810.3389/frai.2025.15483851548385Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to realityXuanqiao Lin0Xuanqiao Lin1Xuanqiao Lin2Xuanqiao Lin3Lifang Bai4Lifang Bai5Lifang Bai6Lifang Bai7Xiaohuan Zhao8Xiaohuan Zhao9Xiaohuan Zhao10Xiaohuan Zhao11Lei Cai12Lei Cai13Lei Cai14Lei Cai15Jin Yang16Jin Yang17Jin Yang18Jin Yang19Department of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, ChinaKey Laboratory of Myopia, Ministry of Health, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, ChinaVisual Rehabilitation Professional Committee, Chinese Association of Rehabilitation Medicine, Shanghai, ChinaDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, ChinaKey Laboratory of Myopia, Ministry of Health, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, ChinaVisual Rehabilitation Professional Committee, Chinese Association of Rehabilitation Medicine, Shanghai, ChinaDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, ChinaKey Laboratory of Myopia, Ministry of Health, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, ChinaVisual Rehabilitation Professional Committee, Chinese Association of Rehabilitation Medicine, Shanghai, ChinaDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, ChinaKey Laboratory of Myopia, Ministry of Health, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, ChinaVisual Rehabilitation Professional Committee, Chinese Association of Rehabilitation Medicine, Shanghai, ChinaDepartment of Ophthalmology, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, ChinaKey Laboratory of Myopia, Ministry of Health, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, ChinaVisual Rehabilitation Professional Committee, Chinese Association of Rehabilitation Medicine, Shanghai, ChinaObjectiveThis study aimed to assess the quality and readability of patient education on congenital cataracts provided by Google, ChatGPT, and clinical doctors. Given the rarity of congenital cataracts and the need for accessible, accurate information for parents, we sought to evaluate the platforms’ effectiveness in delivering relevant health information.Methods and analysisWe developed two question banks related to congenital cataracts from different sources. Responses from Google, ChatGPT, and two doctors were evaluated across five criteria: correctness, completeness, readability, helpfulness, and safety. An ophthalmologist panel used a five-point Likert scale to score these responses. The readability of responses was also assessed using passage and readability statistics, with additional readability enhancements applied to ChatGPT responses.ResultsThe ChatGPT responses demonstrated similar quality to those from experienced doctors, particularly excelling in readability, which was enhanced further with simplification techniques. Resident doctors provided the most readable doctor responses, while Google results scored the lowest across all five evaluative criteria. Post-enhancement, ChatGPT responses showed significant improvements in readability and maintained response quality.ConclusionChatGPT is a promising tool for delivering accessible, accurate information on congenital cataracts, especially for populations with lower health literacy. This study underscores the value of AI in healthcare education for rare conditions and highlights the need for consulting multiple information sources for comprehensive health guidance. ChatGPT, with readability enhancements, stands out as a particularly effective resource for public health information on congenital cataracts.https://www.frontiersin.org/articles/10.3389/frai.2025.1548385/fullcongenital cataractslarge language modelshealth educationpublic health careartificial intelligence |
| spellingShingle | Xuanqiao Lin Xuanqiao Lin Xuanqiao Lin Xuanqiao Lin Lifang Bai Lifang Bai Lifang Bai Lifang Bai Xiaohuan Zhao Xiaohuan Zhao Xiaohuan Zhao Xiaohuan Zhao Lei Cai Lei Cai Lei Cai Lei Cai Jin Yang Jin Yang Jin Yang Jin Yang Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality Frontiers in Artificial Intelligence congenital cataracts large language models health education public health care artificial intelligence |
| title | Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality |
| title_full | Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality |
| title_fullStr | Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality |
| title_full_unstemmed | Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality |
| title_short | Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality |
| title_sort | online platform vs doctors a comparative exploration of congenital cataract patient education from virtual to reality |
| topic | congenital cataracts large language models health education public health care artificial intelligence |
| url | https://www.frontiersin.org/articles/10.3389/frai.2025.1548385/full |
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