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Exploring large language model for next generation of artificial intelligence in ophthalmology
Kai Jin1, Lu Yuan2, Hongkang Wu1
1Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Frontiers in Medicine
|December 11, 2023
Summary
Large language models (LLMs) show significant potential in advancing artificial intelligence (AI) in ophthalmology. These AI tools can improve diagnostic accuracy and patient care across various ophthalmic subfields.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Natural Language Processing
Background:
- Ophthalmology is rapidly advancing due to artificial intelligence (AI).
- Large language models (LLMs) are emerging as powerful natural language processing tools.
Purpose of the Study:
- To explore the potential of LLMs in the next generation of AI in ophthalmology.
- To analyze 108 studies on LLM applications in diverse ophthalmic subfields.
Main Methods:
- Systematic review and analysis of 108 ophthalmology studies involving LLMs.
- Evaluation of LLM capabilities in generating informative and contextually relevant responses.
Main Results:
- LLMs demonstrate competence across general ophthalmology, retinal diseases, anterior segment diseases, glaucoma, and ophthalmic plastics.
- LLM applications show potential for reducing diagnostic errors and improving patient outcomes.
- LLMs can provide ophthalmologists with access to vast information and enhance diagnostic accuracy.
Conclusions:
- LLMs are poised to play a significant role in the future of AI in ophthalmology.
- Continued AI advancements and research will drive the development of AI-assisted ophthalmic practices.
- Leveraging AI can lead to enhanced diagnostic capabilities and improved patient care in ophthalmology.
