Augmented eye clinic shows why AI-native systems work where standalone algorithms don’t

AI in eye care is set to take a new leap with an AI-native rather than assisted approach. Researchers have developed a new tool that moves beyond the conventional model of deploying AI as isolated, standalone tools for individual tasks by bringing together a network of specialized AI software agents that can operate across every stage of a patient's care pathway.

A recent Nature Medicine article offered an early look at AI-TEC (AI-Agent Augmented Tsinghua Eye Clinic), a new framework now being used at Beijing Tsinghua Changgung Hospital in China.

To power AI-TEC, the researchers combined two powerful AI engines that worked with different types of patient information. Qwen3.5-35B handled text, helping to understand patient histories and create structured summaries, while RETFound, a retinal foundation model, evaluated eye images, including fundus photographs that show the back of the eye.

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