Characteristics of a Large Database of Healthy Eyes From Optometry Practices: Implications for a Real-World Reference Database
The larger RW-RDB offers the opportunity to better characterize healthy eyes for clinical diagnosis and clinical trials by furthering our understanding of the patterns of artifacts, exploring covariates, developing separate RW-RDBs, and/or improving AI models.
Authors
- Mary K Durbin (ORCID: https://orcid.org/0000-0001-6789-940X)
- Donald C. Hood (ORCID: https://orcid.org/0000-0001-6717-4791)
- Chris Lee
- Sol La Bruna (ORCID: https://orcid.org/0000-0003-2421-6001)
- Nevin W. El-Nimri
- Emmanouil Tsamis (ORCID: https://orcid.org/0000-0001-7418-1033)
- Carlos Gustavo De Moraes (ORCID: https://orcid.org/0000-0002-5626-0894)
- Yi Sing Hsiao
Institutions
- Columbia University Irving Medical Center (US)
- UPMC Health System (US)
- Columbia University (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1167/tvst.13.10.8
- Citations
- 4
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.15
Funders
- Carl Zeiss Meditec AG
- Heidelberg Engineering
- National Institutes of Health
- Alcon Research Institute