Utility of artificial intelligence-based large language models in ophthalmic care.
Sayantan BiswasLeon N DaviesAmy L SheppardNicola S LoganJames Stuart WolffsohnPublished in: Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) (2024)
Ophthalmic care professionals should undertake a conservative approach when using AI, as human judgement remains essential for clinical decision-making and monitoring the accuracy of information. This review identified the ophthalmic applications and potential usages which need further exploration. With the advancement of LLMs, setting standards for benchmarking and promoting best practices is crucial. Potential clinical deployment requires the evaluation of these LLMs to move away from artificial settings, delve into clinical trials and determine their usefulness in the real world.
Keyphrases
- artificial intelligence
- healthcare
- machine learning
- clinical trial
- big data
- decision making
- palliative care
- deep learning
- endothelial cells
- quality improvement
- primary care
- autism spectrum disorder
- pain management
- human health
- affordable care act
- randomized controlled trial
- climate change
- chronic pain
- risk assessment
- health information