What does this research mean for the field?

Large language models have the potential to revolutionize clinical practices and patient care in ophthalmology. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to evaluate how large language models can enhance understanding and clinical practices in eye care.

March 1, 2026Open Access

Large language models and eye education: A narrative review

Key Points

The aim is to evaluate how large language models can enhance understanding and clinical practices in eye care.
Conducted a narrative review of literature
Examined applications of LLMs by patients, clinicians, and clinical students
Identified core implications and research gaps in the use of LLMs in clinical settings
LLMs show potential to improve patient education and clinician training in ocular topics
Stakeholders express varied responses to integrating LLMs in clinical practices
Highlights the need for further investigation to ensure safe and effective use of LLM technology in eye care.

Abstract

Abstract: The emergence of large language models (LLMs) has sparked both excitement and concern due to their rapidly advancing capabilities. This development marks a crucial moment in health care, as LLMs have the potential to bring about revolutionary changes to current clinical practices and ultimately patient care. ChatGPT, Gemini (formerly known as Bard), among other applications, are all examples of publicly available generative artificial intelligence (AI) chatbots based on LLM technology. This narrative review aims to outline the literature regarding the use of publicly available LLMs by different stakeholders, such as patients, clinicians, and clinical students, to enhance their understanding of ocular topics, core implications of such technologies for both patients and clinicians, and areas in which further research is necessary to fully appreciate these tools’ impact and for its safe integration in clinical eye care.

Large language models and eye education: A narrative review

Key Points

Abstract

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