A look at the emerging trends of large language models in ophthalmology

Ting Fang Tan ¹, Chrystie Quek ¹, Joy Wong ¹

⁰Singapore National Eye Centre, Singapore Eye Research Institute.

Current Opinion in Ophthalmology +

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October 24, 2024

View abstract on PubMed

Summary

Large language models (LLMs) and generative artificial intelligence (AI) show promise in ophthalmology. This review updates physicians on current LLM applications and emerging trends to improve eye care delivery.

Area Of Science

Ophthalmology
Artificial Intelligence
Medical Informatics

Background

The integration of large language models (LLMs) and generative artificial intelligence (AI) into ophthalmology is rapidly advancing.
Physicians require updated information on the current capabilities and applications of these technologies in eye care.

Purpose Of The Study

To provide an updated review of large language models (LLMs) and generative artificial intelligence (AI) in ophthalmology.
To explore current progress and catalyze further research and application in enhancing ophthalmic healthcare delivery.

Main Methods

Review of existing literature on LLM use cases in ophthalmology.
Overview of commonly employed LLM techniques.
Analysis of emerging trends in generative AI within the ophthalmology domain.

Main Results

Generative AI applications demonstrate significant potential in ophthalmology.
Current work extends beyond basic LLM functions to novel techniques and broader applications.
Promising performance has been observed in various ophthalmology-related tasks.

Conclusions

Ophthalmology is increasingly benefiting from LLM and generative AI advancements.
Further exploration of LLM techniques and applications is crucial for optimizing eye care.
Emerging trends highlight the transformative potential of AI in ophthalmic practice.