Over the last 5 years, artificial intelligence (AI) has seen widespread adoption in various fields, including healthcare, finance, and transportation. This growth can be attributed to significant advancements in AI sub-areas [1]. Large language models (LLMs), which are advanced AI models trained on extensive textual data, have gained immense popularity among the general population and have also impacted patients who increasingly rely on large language models (LLMs) to seek clinical information.

In particular, in vitreoretinal conditions, there is a lack of patient awareness of “alarm” symptoms that may delay presentation for medical attention [2]. In response, patients often turn to the internet, social networks, and, with the new boom in artificial intelligence, also to large language models to find answers to their questions [3].

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