Optimizing Predictive Models for Distance and Near Vision Outcomes in Presbyopic Surgery Using Machine Learning
Machine learning-based prediction models and the DCVG metric facilitate individualized clinical decision-making, improving patient counseling and optimizing the balance between near and distance vision in presbyopic treatment.
Authors
- Samuel Arba‐Mosquera (ORCID: https://orcid.org/0000-0002-3152-0557)
- Soodabeh Darzi (ORCID: https://orcid.org/0000-0001-5746-2116)
- Pierre Baudu
- Franck Penin
Institutions
- SCHWIND eye-tech-solutions (Germany) (DE)
- University of Reunion Island (RE)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1167/tvst.14.10.32
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00