Enhancing eye care through AI-assisted clinical decision-making
Neovascular age-related macular degeneration (n-AMD) is a leading cause of vision loss in older adults. Rising patient numbers, combined with NHS workforce shortages, are increasing pressure on ophthalmology services — risking delays in diagnosis and treatment that can lead to preventable sight loss.
This study explored the feasibility of using AI-enabled image analysis (AIaMD) to support clinical decision-making in n-AMD care. The technology assists clinicians by analysing retinal scans, with the potential to increase diagnostic accuracy, reduce waiting times, and improve care pathways.
Early findings show strong clinician and patient acceptance, with promising indications for improving workflow efficiency and supporting earlier, more accurate diagnoses. A larger multi-site evaluation is now planned in partnership with leading NHS institutions including Moorfields Eye Hospital and University Hospitals Birmingham.
As part of the study, our HRC:
- Enabled feasibility testing in NHS clinical settings
- Connected project teams with national research and care partners
- Supported data collection for safety, usability, and workflow outcomes
- Positioned the innovation for future large-scale evaluation and adoption
