A three-step agentic workflow with LLM function calling and reflection improved glaucoma classification, CDR estimation, and repeatability over LLM-alone baselines, approaching specialist-level accuracy.
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An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography
A three-step agentic workflow with LLM function calling and reflection improved glaucoma classification, CDR estimation, and repeatability over LLM-alone baselines, approaching specialist-level accuracy.