Meta-EyeFM uses a language model to route retinal images to specialized classifiers and achieves ophthalmologist-level accuracy for several eye diseases, though external validation is partly compromised by dataset overlap.
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An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care
Meta-EyeFM uses a language model to route retinal images to specialized classifiers and achieves ophthalmologist-level accuracy for several eye diseases, though external validation is partly compromised by dataset overlap.