A large language model (LLM) artificial intelligence (AI) system can match, or in some cases outperform, human ophthalmologists in the diagnosis and treatment of patients with glaucoma and retina disease, according to research from New York Eye and Ear Infirmary of Mount Sinai (NYEE).
Feb 23 2024Mount Sinai Health System A large language model artificial intelligence system can match, or in some cases outperform, human ophthalmologists in the diagnosis and treatment of patients with glaucoma and retina disease, according to research from New York Eye and Ear Infirmary of Mount Sinai .
The study matched the knowledge of ophthalmic specialists against the capabilities of the latest generation AI system, GPT-4 from OpenAI, designed to replicate human-level performance. Within medicine, sophisticated AI tools are seen as potentially revolutionizing diagnosis and treatment tools through the accuracy and comprehensiveness of their LLM-generated responses.
The results showed that AI matched or outperformed human specialists in both accuracy and completeness of its medical advice and assessments. More specifically, AI demonstrated superior performance in response to glaucoma questions and case-management advice, while reflecting a more balanced outcome in retina questions, where AI matched humans in accuracy but exceeded them in completeness.
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