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Evaluation of Current Artificial Intelligence Programs on the Knowledge of Glaucoma.
Eyupcan Sensoy1, Mehmet Citirik1
1Ophthalmology, Ankara City Hospital, Ankara, Turkey.
Klinische Monatsblatter Fur Augenheilkunde
|July 24, 2024
Summary
Bard, ChatGPT, and Bing AI chatbots were evaluated for glaucoma information accuracy. Bard performed best, but no AI chatbot demonstrated statistically significant superiority in answering questions on glaucoma types and treatments.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Medical Informatics
Background:
- Glaucoma is a leading cause of irreversible blindness worldwide.
- Accurate patient education on glaucoma types and treatment is crucial for management.
- Artificial intelligence (AI) chatbots are emerging as accessible information sources.
Purpose of the Study:
- To assess the accuracy of ChatGPT, Bard, and Bing AI chatbots in responding to glaucoma-related queries.
- To compare the performance of these three AI chatbots against each other.
Main Methods:
- A standardized set of 32 questions regarding glaucoma types and treatment modalities was developed.
- The same questions were posed to ChatGPT, Bard, and Bing.
- Accuracy of chatbot responses was evaluated and compared.
Main Results:
- Bard achieved the highest accuracy rate at 78.1%, followed by Bing at 59.4%, and ChatGPT at 56.3%.
- Despite performance variations, no statistically significant difference was found in the accuracy of answers provided by the three AI chatbots (p=0.195).
Conclusions:
- AI chatbots can serve as a supplementary tool for accessing information on glaucoma.
- The accuracy of information provided by AI chatbots regarding glaucoma is variable and requires critical evaluation by users.
- Further research is needed to improve the reliability of AI in medical information dissemination.
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