The British-Israeli Project for Algorithm-Based Management of Age-Related Macular Degeneration: Deep Learning Integration for Real-World Data Management and Analysis
This study demonstrates the feasibility of integrating large-scale clinical and imaging data for automated analysis in nAMD. The comprehensive baseline characterization provides insights into real-world presentations and lays the groundwork for enabling personalized decision-making and optimizing outcomes based on individual patient profiles and fluid distribution patterns.
Authors
- Dinah Zur (ORCID: https://orcid.org/0000-0003-1147-444X)
- Tünde Pető (ORCID: https://orcid.org/0000-0001-6265-0381)
- Qing Wen (ORCID: https://orcid.org/0000-0003-4325-7829)
- Reut Shor
- Moshe Havilio
- Mithat Gönen (ORCID: https://orcid.org/0000-0001-8683-8477)
- Gidi Benyamini (ORCID: https://orcid.org/0000-0003-4496-8462)
- M. Ben-Nun (ORCID: https://orcid.org/0000-0002-9164-0008)
- David M. Wright (ORCID: https://orcid.org/0000-0001-8948-3691)
- Usha Chakravarthy
- Anat Loewenstein
- Omer Dor
- Shay Look
Institutions
- Queen's University Belfast (GB)
- Tel Aviv University (IL)
- Notal Vision (Israel) (IL)
Publication Details
- Journal
- Ophthalmologica
- Published
- 2025-06-28
- DOI
- https://doi.org/10.1159/000547161
- Citations
- 1
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- BIRAX