Evaluating the reliability of the responses of large language models to keratoconus-related questions
Despite the responses provided by ChatGPT-4 exhibiting lower readability and greater complexity, it emerged as the most proficient in answering KCN-related questions.
Authors
- Ceren Durmaz Engin (ORCID: https://orcid.org/0000-0001-5797-6467)
- Mustafa Kayabaşı (ORCID: https://orcid.org/0000-0003-2059-0696)
- Seher Köksaldı (ORCID: https://orcid.org/0000-0001-8235-4088)
Institutions
- Izmir University (TR)
- Center for the Study of Democracy (BG)
- State Hospital (GB)
- Sivas State Hospital (TR)
- İzmir Demokrasi Üniversitesi
Publication Details
- Journal
- Clinical and Experimental Optometry
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1080/08164622.2024.2419524
- Citations
- 7
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.83