Comprehensive Summary
ChatGPT is an advanced large language model that has great potential for clinical applications in ophthalmology. Three main ways it has been used are in disease diagnosis, aiding in predicting ophthalmic disease, and patient education. It has been used as an assistive tool for diagnosing conditions such as floaters and ocular surface disease by analyzing clinical symptoms, medical history, and exam results with an accuracy rate of 85%. Additionally, it has been explored as a way to predict the risk of diabetic retinopathy using clinical and biochemical parameters, yielding a sensitivity of 73% and specificity of 54%. Due to the rising incidence of ophthalmologic disease, there is a growing need for patient education, which some believe can be filled by ChatGPT, as users can ask questions and learn more independently compared to traditional educational methods.
Outcomes and Implications
Overall, ChatGPT has great clinical promise in ophthalmology, especially in diagnosing and predicting ophthalmic disease. Its application in patient education may need to be further studied due to its limited ophthalmologic knowledge base, which was seen through its ability to answer only half of the questions accurately. However, with a potential integration of ophthalmology-specific chatbots or the expansion of its ophthalmic knowledge, it could become a useful tool for patients in the future.