Neural Network-Based Prediction of Post-Operative Visual Outcomes Following Secondary Pediatric Intraocular Lens Implantation
The neural network effectively predicted post-operative visual outcomes, offering potential clinical utility in guiding IOL implantation decisions. Despite limitations in dataset diversity, this study lays the foundation for future development of personalized strategies in pediatric cataract care.
Authors
- Raheem Remtulla
- Andrew Farah (ORCID: https://orcid.org/0009-0005-3165-4829)
- Robert K. Koenekoop
Institutions
- McGill University Health Centre (CA)
- McGill University (CA)
Publication Details
- Journal
- Children
- Published
- 2025-10-20
- DOI
- https://doi.org/10.3390/children12101413
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00