Updated on 7 September 2026
Generative AI for Non-invasive Retinal Angiography
Research Assistant Professor at The Hong Kong Polytechnic University
China (Hong Kong)
About
This project develops generative AI technology to synthesize retinal angiography from non-invasive fundus images, aiming to reduce reliance on invasive, time-consuming and costly angiographic examinations. The platform supports FFA, ICGA and ultra-widefield angiography generation, with potential applications in retinal disease screening, clinical assessment and downstream image analysis. We are seeking partners for clinical validation, device/platform integration, commercial translation and regional deployment.
Project Location
- China (Hong Kong)
Project Format
- Public Project
Go Global Project
- Yes
ESG (Environmental, Social, and Governance)
- No
Project Stage
- Partner Identification
Main Project Sector
- Technology
Technology
- Health Technology
- Medical Technology
Type(s) of Last Financing Round of the project (if Applicable)
- Government & Public Funding
Main Service(s) Required
- Professional Services
Attached files
Organisation
The Hong Kong Polytechnic University
China (Hong Kong)
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