DENVER — Using visual prompts helped improve glaucoma detection by a large language model, according to a poster presentation at the Association for Research in Vision and Ophthalmology meeting.
Iris Fang-Yu Hu, MD, and colleagues wanted to find out if giving a general-purpose large language model visual examples could help it detect glaucoma in fundus photos. They compared this “in-context learning” in two large language models with prompts without any reference images, according to the study.
“A large language model is actually quite a powerful tool for glaucoma detection,” Hu told Healio.
— Curated from external eye-care sources for opthametry.com readers.
📰 Original Source: Healio Optometry
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