Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Evaluation of the appropriateness and readability of ChatGPT responses to patient queries on uveitis
Author Affiliations & Notes
  • Saeed Mohammadi
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Anadi Khatri K C
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
    Department of Ophthalmology, Birat Medical College, Biratnagar, Morang, Nepal
  • Tanya Jain
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
    Dr. Shroff Charity Eye Hospital, New Delhi, Delhi, India
  • Zheng Xian Thng
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
    National Healthgroup Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
  • Woong-Sun Yoo
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
    Gyeongsang National University Hospital, Jinju, Korea (the Republic of)
  • Negin Yavari
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Azadeh Mobasserian
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Vahid Bazojoo
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Amir Akhavanrezayat
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Anh Ngoc Tram Tran
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Cigdem Yasar
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Osama Elaraby
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Ankur Sudhir Gupta
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Jia-Horung Hung
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Dalia El Feky
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Quan Dong Nguyen
    Department of Ophthalmology, Stanford University, Byers Eye Institute, Palo Alto, California, United States
  • Footnotes
    Commercial Relationships   Saeed Mohammadi None; Anadi Khatri K C None; Tanya Jain None; Zheng Thng None; Woong-Sun Yoo None; Negin Yavari None; Azadeh Mobasserian None; Vahid Bazojoo None; Amir Akhavanrezayat None; Anh Tran None; Cigdem Yasar None; Osama Elaraby None; Ankur Gupta None; Jia-Horung Hung None; Dalia El Feky None; Quan Nguyen Regeneron, Genentech, Boehringer-Ingelheim, Rezolute, Code C (Consultant/Contractor), Acelyrin, Priovant, Belite Bio, Oculis, Boehringer-Ingelheim, Code F (Financial Support)
  • Footnotes
    Support  An unrestricted grant from Research to Prevent Blindness, and the National Eye Institute P30-EY026877
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 355. doi:
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    • Get Citation

      Saeed Mohammadi, Anadi Khatri K C, Tanya Jain, Zheng Xian Thng, Woong-Sun Yoo, Negin Yavari, Azadeh Mobasserian, Vahid Bazojoo, Amir Akhavanrezayat, Anh Ngoc Tram Tran, Cigdem Yasar, Osama Elaraby, Ankur Sudhir Gupta, Jia-Horung Hung, Dalia El Feky, Quan Dong Nguyen; Evaluation of the appropriateness and readability of ChatGPT responses to patient queries on uveitis. Invest. Ophthalmol. Vis. Sci. 2024;65(7):355.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To compare the utility of ChatGPT as an online uveitis patient education resource with established web-based patient education platforms.

Methods : The top 8 uveitis patient education websites indexed by Google as of November 2023 were included in the study. Information regarding uveitis were compiled from Healthline, Mayo Clinic, WebMD, National Eye Institute, Ocular Uveitis and Immunology Foundation, American Academy of Ophthalmology, Cleveland Clinic, and National Health Service websites. The same queries from these websites were posed to ChatGPT 4.0 three times and responses were recorded. The process was repeated for another 3 instances with the inclusion of the following request after each query 'Please provide a response suitable for the average American adult, at a 6th grade comprehension level.’ to mimic a simplified ChatGPT response. Three vitreoretinal specialists, all masked to the sources, graded the content in terms of personal preference, comprehensiveness, and accuracy. Additionally, six readability indices including Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, Simple Measure of Gobbledygook, and FORCAST grade index were calculated using an online calculator, Readable.com, to assess the ease of comprehension of each answer.

Results : A total of 497 responses, comprising 71 from existing websites, 213 standard responses from ChatGPT, and 213 simplified responses from ChatGPT were recorded and graded. Standard ChatGPT responses were preferred and perceived to be more comprehensive by trained specialist ophthalmologists while maintaining similar accuracy level compared to existing websites. Moreover, simplified ChatGPT responses matched almost all existing websites in terms of personal preference, accuracy, and comprehensiveness (Figure 1). Notably, almost all readability indices suggested that standard ChatGPT responses demand a higher educational level for comprehension, whereas simplified responses required lower level of education compared to existing websites (Figure 2).

Conclusions : With the advent of technology and the Internet, patients are increasingly seeking information online. This study shows ChatGPT provides an avenue for patients to access comprehensive and accurate disease-related information tailored to their educational level.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

 

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