Is ChatGPT a Useful Tool for Ophthalmology Practice?
| dc.contributor.author | Yavrum, Fuat | |
| dc.contributor.author | Kocabaş, Dilara Özkoyuncu | |
| dc.date.accessioned | 2026-01-24T12:00:50Z | |
| dc.date.available | 2026-01-24T12:00:50Z | |
| dc.date.issued | 2024 | |
| dc.department | Alanya Alaaddin Keykubat Üniversitesi | |
| dc.description.abstract | Aim: This study aimed to assess ChatGPT-3.5's performance in ophthalmology, comparing its responses to clinical case-based and multiple-choice (MCQ) questions. Methods: ChatGPT-3.5, an AI model developed by OpenAI, was employed. It responded to 98 case-based questions from \"Ophthalmology Review: A Case-Study Approach\" and 643 MCQs from \"Review Questions in Ophthalmology\" book. ChatGPT's answers were compared to the books, and statistical analysis was conducted. Results: ChatGPT achieved an overall accuracy of 56.1% in case-based questions. Accuracy varied across categories, with the highest in the retina section (69.5%) and the lowest in the trauma section (38.2%). In MCQ, ChatGPT's accuracy was 53.5%, with the weakest in the optics section (32.6%) and the highest in pathology and uveitis (66.7% and 63.0%, respectively). ChatGPT performed better in case-based questions in the retina and pediatric ophthalmology sections than MCQ. Conclusion: ChatGPT-3.5 exhibits potential as a tool in ophthalmology, particularly in retina and pediatric ophthalmology. Further research is needed to evaluate ChatGPT's clarity and acceptability for open-ended questions. | |
| dc.identifier.doi | 10.30565/medalanya.1531790 | |
| dc.identifier.endpage | 227 | |
| dc.identifier.issn | 2587-0319 | |
| dc.identifier.issue | 3 | |
| dc.identifier.startpage | 221 | |
| dc.identifier.trdizinid | 1294476 | |
| dc.identifier.uri | https://search.trdizin.gov.tr/tr/yayin/detay/1294476 | |
| dc.identifier.uri | https://doi.org/10.30565/medalanya.1531790 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12868/3756 | |
| dc.identifier.volume | 8 | |
| dc.indekslendigikaynak | TR-Dizin | |
| dc.language.iso | en | |
| dc.relation.ispartof | Acta Medica Alanya | |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_TR-Dizin_20260121 | |
| dc.subject | Artificial intelligence | |
| dc.subject | Ophthalmology | |
| dc.subject | ChatGPT | |
| dc.subject | Large language model | |
| dc.title | Is ChatGPT a Useful Tool for Ophthalmology Practice? | |
| dc.type | Article |
