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Artificial Intelligence Matches or Outperforms Human Specialists in Retina and Glaucoma Management, Mount Sinai Study Finds
ws this tool can strongly support clinicians for patient care 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). The provocative study, published February 22, in JAMA Ophthalmology, suggests that advanced AI tools, which are trained on vast amounts of data, text, and images, could play an important role in providing decision-making support to ophthalmologists in the diagnosis and management of cases involving glaucoma and retina disorders, which afflict millions of patients.
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). The provocative study, published February 22, in JAMA Ophthalmology, suggests that advanced AI tools, which are trained on vast amounts of data, text, and images, could play an important role in providing decision-making support to ophthalmologists in the diagnosis and management of cases involving glaucoma and retina disorders, which afflict millions of patients. “We recognized the enormous potential of this AI system from the moment we started testing it and were fascinated to observe that GPT-4 could not only assist but in some cases match or exceed, the expertise of seasoned ophthalmic specialists.”
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