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ProjectUpdated 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

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