Validation of a new implantable collamer lens sizing algorithm based on SS-OCT images
This deep learning-based model, using raw OCT images, provided accurate ICL sizing predictions and valuable metrics such as P250-750 to assist clinical decision-making. This approach may reduce sizing errors and improve patient outcomes. The model is available for ANTERION SS-OCT users at safevaulticl.com .
Authors
- Pierre Zéboulon (ORCID: https://orcid.org/0000-0003-2192-3210)
- Tobias Duncker
- Roxane Flamant (ORCID: https://orcid.org/0000-0002-2979-7477)
- Damien Gatinel (ORCID: https://orcid.org/0000-0001-9603-0500)
- Nicole Mechleb (ORCID: https://orcid.org/0000-0003-1172-5827)
- Alain Saad (ORCID: https://orcid.org/0000-0001-9855-8333)
- Maria Rizk (ORCID: https://orcid.org/0000-0001-7188-6767)
- Raphael Neuhann
Institutions
- Rathenau Instituut (NL)
- Fondation de Rothschild (FR)
- Ophthalmology Clinic (DE)
Publication Details
- Journal
- Journal of Cataract & Refractive Surgery
- Published
- 2025-08-19
- DOI
- https://doi.org/10.1097/j.jcrs.0000000000001764
- Primary Topic
- Optical Coherence Tomography Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00