Assessing the Responses of Large Language Models (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Retinopathy of Prematurity: A Study on Readability and Appropriateness
ChatGPT-4 demonstrated higher performance than other LLMs in responding to questions related to ROP; however, its texts were more complex. In terms of readability, Gemini and Microsoft Copilot were found to be more successful. <b>[<i>J Pediatr Ophthalmol Strabismus</i>. 2025;62(2):84-95.]</b>.
Authors
- Murat Karapapak (ORCID: https://orcid.org/0000-0001-9604-6887)
- Ece Özal (ORCID: https://orcid.org/0000-0002-4251-9308)
- Sadık Altan Özal (ORCID: https://orcid.org/0000-0003-0078-1049)
- Serhat Ermiş (ORCID: https://orcid.org/0000-0003-3392-3090)
- Ebrar Kumantaş
Institutions
- Eskişehir City Hospital (TR)
Publication Details
- Journal
- Journal of Pediatric Ophthalmology & Strabismus
- Published
- 2024-10-28
- DOI
- https://doi.org/10.3928/01913913-20240911-05
- Citations
- 9
- Primary Topic
- Retinopathy of Prematurity Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.64