Vision of the future: large language models in ophthalmology
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View abstract on PubMed
Summary
This summary is machine-generated.Large language models (LLMs) show promise in ophthalmology for patient communication and diagnostics. Rigorous safety testing is needed before clinical integration due to potential harms and data privacy concerns.
Area Of Science
- Ophthalmology
- Artificial Intelligence
- Medical Informatics
Background
- Large language models (LLMs) are increasingly impacting various medical fields.
- Their application in ophthalmology spans patient interaction to clinical decision-making.
Purpose Of The Study
- To review the evolving role of LLMs in ophthalmology.
- To focus on current applications and future potential in enhancing ophthalmic care.
Main Methods
- Literature review of LLM applications in ophthalmology.
- Analysis of demonstrated potential and identified challenges.
Main Results
- LLMs show potential in improving patient communication and preliminary diagnostics.
- Concerns exist regarding potential harm, and real-world safety/efficacy studies are lacking.
Conclusions
- LLM applications in ophthalmology are largely theoretical and require safety validation.
- Data privacy and user acceptance are key challenges for clinical integration.
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