Comparison of the Accuracy, Comprehensiveness, and Readability of ChatGPT, Google Gemini, and Microsoft Copilot on Dry Eye Disease
Google Gemini excelled in content volume while maintaining high comprehensiveness and accuracy, outperforming ChatGPT and Microsoft Copilot in content generation. The platforms displayed comparable readability and linguistic complexity. These findings inform AI tool selection in health-related contexts, emphasizing Google Gemini's strengths in detailed responses. Its superior performance suggests potential utility in clinical and patient-facing applications requiring accurate and comprehensive content.
Authors
- Dilan Colak
Institutions
- University of Health Science (KH)
- Sağlık Bilimleri Üniversitesi (TR)
- Istanbul Eye Hospital (TR)
- University of Health Sciences Antigua (AG)
Publication Details
- Journal
- Beyoglu Eye Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.14744/bej.2025.76743
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00