Purpose To explore the integration of generative AI, specifically large language models
(LLMs), in ophthalmology education and practice, addressing their applications, benefits …

Artificial intelligence (AI) is becoming increasingly influential in ophthalmology, particularly
through advancements in machine learning, deep learning, robotics, neural networks, and …

Overall, foundation models in ophthalmology present promising opportunities but face
challenges, particularly the need for high-quality, standardized datasets for training and …

The integration of LLMs in ophthalmology offers potential advantages such as aiding in
clinical decision support and facilitating medical education through their ability to process …

Purpose This scoping review aims to explore the current applications of ChatGPT in the
retina field, highlighting its potential, challenges, and limitations. Methods A comprehensive …

The impact of artificial intelligence on cataract and refractive surgeries is becoming
increasingly evident through improved diagnostic accuracy, enhanced patient education …

As the healthcare community increasingly harnesses the power of generative artificial
intelligence (AI), critical issues of security, privacy and regulation take centre stage. In this …

The integration of artificial intelligence (AI) with healthcare has opened new avenues for
diagnosing, treating, and managing medical conditions with remarkable precision. Uveitis, a …

Large language models (LLMs) show promise in supporting differential diagnosis, but their
performance is challenging to evaluate due to the unstructured nature of their responses. To …

Purpose To review and evaluate the current literature on the application and impact of large
language models (LLMs) in the field of ophthalmology, focusing on studies published in high …