Exploring the Accuracy and Readability of ChatGPT in Providing Information to Patients With Keratoconus
Patients with keratoconus may lack sufficient understanding of their illness. The authors assessed the accuracy and readability of ChatGPT (OpenAI) responses to common questions regarding keratoconus and found that the provided data are precise, with minor inaccuracies. The complexity of responses requires a high reading level, which may be unsuitable for many patients. <b>[<i>J Pediatr Ophthalmol Strabismus</i>. 2024;61(5):e43-e46.]</b>.
Authors
- Liron Berkovitz
- Yishay Weill (ORCID: https://orcid.org/0000-0003-4714-2594)
- Elishai Assayag (ORCID: https://orcid.org/0000-0003-2333-9923)
- David Zadok (ORCID: https://orcid.org/0000-0002-6990-8004)
Institutions
- Shaare Zedek Medical Center (IL)
Publication Details
- Journal
- Journal of Pediatric Ophthalmology & Strabismus
- Published
- 2024-09-01
- DOI
- https://doi.org/10.3928/01913913-20240718-01
- Citations
- 1
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.40