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Recent years have witnessed an increasing interest in the application of Artificial Intelligence (AI) and deep learning in Ophthalmology 1 . Large language models (LLMs) have become a popular area of research in this field, and have been integrated into publicly available chatbots such as ChatGPT 3.5 and 4.0 ( OpenAI , CA, US), Google Bard ( Alphabet Inc ., CA, US), and Bing Chat ( Microsoft Corporation , WA, US) 2 , 3 , 4 , 5 . LLMs have been trained on vast amounts of data, enabling them to generate human-like text and answer complex questions. This capability has the potential to revolutionise clinical practice and assessment 2 , 6 , 7 .
Raimondi et al. (Tue,) studied this question.