External validation of an artificial intelligence–based model for retinopathy of prematurity screening using Phoenix ICON retinal images
The algorithm's performance with Phoenix ICON is similar to its performance with RetCam. All infants with treatment-requiring type 1 ROP were detected by the algorithm. The presence of eye examinations without images of sufficient quality underlines the need for imaging protocols, especially when using this algorithm, with a smaller field-of-view camera.
Authors
- Angela M. Tjiam
- Aaron S. Coyner (ORCID: https://orcid.org/0000-0003-3261-1909)
- Lineke Derks (ORCID: https://orcid.org/0000-0001-8435-6474)
- Sjoukje E. Loudon (ORCID: https://orcid.org/0000-0003-0245-4076)
- J. Peter Campbell
- Johannes R. Vingerling
- Yaşar Tekin
Institutions
- Oregon Health & Science University (US)
- Erasmus MC (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Journal of American Association for Pediatric Ophthalmology and Strabismus
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1016/j.jaapos.2025.104696
- Primary Topic
- Retinopathy of Prematurity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00