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Embodied artificial intelligence in ophthalmology
Yao Qiu1,2, Xiaolan Chen1, Xinyuan Wu1
1School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
None:
Embodied artificial intelligence (EAI) integrates perception, memory, reasoning and action through physical interaction, enabling multimodal dynamic learning and real-time feedback. In ophthalmology, EAI supports data-driven decision-making, improving the precision and personalization of diagnosis, surgery, and treatment. It also holds transformative potential in medical education and scientific research by simulating clinical scenarios and accelerating discovery. This perspective highlights EAI's unique potential while addressing current challenges in data, interpretation, and ethics, and outlines future directions for its clinical integration.
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