Skip to main content Start main content

PolyU launches next-generation ophthalmic AI clinical co-pilot system, driving innovation in clinical-grade intelligent decision support platforms

4 Mar 2026

Research and Innovation

A research team led by Prof. HE Mingguang, Director of Research Centre for SHARP Vision (RISV), Chair Professor of Experimental Ophthalmology and Henry G. Leong Professor in Elderly Vision Health of School of Optometry, has launched the development of a next-generation clinical-grade ophthalmic artificial intelligence (AI) co-pilot system “EyeAgent 2.0”, aiming to construct an intelligent decision support platform with advanced clinical reasoning capabilities to assist doctors in disease diagnostic analysis, treatment planning and follow-up management, thereby improving the quality and efficiency of clinical judgments.

The team previously developed the “EyeAgent 1.0” prototype system, capable of integrating multimodal medical data including clinical text and images, to provide diagnostic assistance. Pilot testing in hospitals across Hong Kong and Chinese mainland yielded positive clinical feedback. Leveraging this, the team is now developing “EyeAgent 2.0”.

The new system is being developed around a domain-specific foundation model trained on large-scale, real-world multimodal electronic medical data from leading ophthalmic centres across different regions. It will integrate fundus imaging, optical coherence tomography, angiography and clinical text data. The system will also simulate actual clinical workflows, including data integration, differential diagnosis, treatment planning, and disease progression prediction through a multi-agent collaborative framework, realising the goal of upgrading from one-time image analysis towards continuous decision support throughout the course of disease.

Based on current model validation and prototype testing results, the team anticipates that when fully developed the system, will significantly enhance diagnostic consistency and efficiency, while reducing the time doctors spend on case organisation and documentation. This will help alleviate work pressure in high-load clinical environments. The system’s design emphasises human-AI collaboration, with AI serving as an auxiliary tool for enhancing data integration and analytical capabilities while all final clinical decisions remain doctor-led.

 


Research Units Research Centre for SHARP Vision | PolyU Academy for Interdisciplinary Research

Your browser is not the latest version. If you continue to browse our website, Some pages may not function properly.

You are recommended to upgrade to a newer version or switch to a different browser. A list of the web browsers that we support can be found here