Dual site external validation of artificial intelligence-enabled treatment monitoring for neovascular age-related macular degeneration in England
This study suggests that the same thresholds for interpreting OCT-based AI analysis could reduce undertreatment and overtreatment in nAMD monitoring at different centres. Interventional research is needed to test the potential of supportive or autonomous AI assessments of nAMD disease activity to improve the quality and efficiency of services.
Authors
- Pearse A. Keane (ORCID: https://orcid.org/0000-0002-9239-745X)
- Konstantinos Balaskas (ORCID: https://orcid.org/0000-0003-2034-8920)
- Justin Engelmann (ORCID: https://orcid.org/0000-0002-5345-6023)
- M. Dawn Teare (ORCID: https://orcid.org/0000-0003-3994-0051)
- Henry David Jeffry Hogg (ORCID: https://orcid.org/0000-0001-8044-7790)
- James Talks (ORCID: https://orcid.org/0000-0001-6126-6476)
- Praveen J. Patel (ORCID: https://orcid.org/0000-0001-8682-4067)
- Gregory Maniatopoulos (ORCID: https://orcid.org/0000-0002-9602-3885)
- Michael Pogose (ORCID: https://orcid.org/0000-0002-6095-1639)
Institutions
- University Hospitals Birmingham NHS Foundation Trust (GB)
- Moorfields Eye Hospital NHS Foundation Trust (GB)
- University of Leicester (GB)
- Newcastle upon Tyne Hospitals NHS Foundation Trust (GB)
- Haywards Heath Hospital (GB)
- Moorfields Eye Hospital (GB)
- University College London (GB)
- University of Birmingham (GB)
- Newcastle University (GB)
Publication Details
- Journal
- Eye
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1038/s41433-025-04025-4
- Citations
- 2
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Institute for Health and Care Research
- Moorfields Eye Charity