The PolyU Research Centre for SHARP Vision (RCSV) has signed a Memorandum of Understanding (MoU) with Aravind Eye Care System (AECS), India, to co-develop and clinically validate EyeAgent, an innovative AI-powered clinical decision-support platform for ophthalmology.
Developed by RCSV, EyeAgent integrates large language models with validated ophthalmic tools and domain expertise. Designed to emulate clinician reasoning, it coordinates multimodal analyses and generates transparent, evidence-based outputs to support diagnosis, triage, and management planning.
A signing ceremony was held on 5 February 2026 on the PolyU campus, bringing together leading figures in ophthalmology, optometry, AI, and digital health. Signatories included Prof. HE Mingguang, Director of RCSV and Chair Professor of Experimental Ophthalmology at PolyU, and Dr R. KIM, Chief Medical Officer of AECS, with witnesses from both institutions.
Speaking at the ceremony, Prof. He highlighted PolyU’s longstanding strength in vision science and its drive to translate AI innovation into practical healthcare solutions: “At RCSV, we are committed to advancing innovative vision research and translating artificial intelligence technologies into impactful clinical solutions. Together with the School of Optometry at PolyU, a leading centre for vision science, clinical training and eye care research, we aim to integrate cutting-edge AI with strong clinical foundations.”
Building on this shared vision, Dr Kim stressed Aravind’s commitment to leveraging technology as a force for equitable eye care: “At Aravind, we believe that technology, particularly artificial intelligence, has a vital role to play in expanding equitable access to high-quality eye care. We are encouraged by the innovative approach from the School of Optometry and RCSV at PolyU in developing EyeAgent and are pleased to support its refinement and broader implementation.”
This collaboration has the potential to meaningfully strengthen clinical practice and improve outcomes for patients, especially in low- and middle-income countries where access to specialist expertise remains limited. By combining PolyU’s leadership in AI innovation with Aravind’s extensive clinical network, the partnership aims to deliver a globally adaptable AI-assisted system that enhances diagnostic efficiency, clinician confidence, and patient outcomes.
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