Prediction of postoperative vault after implantable collamer lens implantation with deep learning
AI effectively predicts postoperative vault and determines ICL size. XGBoost outperforms other machine-learning algorithms tested. Its accurate predictions help ophthalmologists choose the right ICL size, ensuring proper vaulting.
Authors
- Liuwei Gu
- Qinghuai Liu (ORCID: https://orcid.org/0000-0003-1605-1964)
- Ying Wang (ORCID: https://orcid.org/0000-0002-0068-9501)
- Hui Zhang (ORCID: https://orcid.org/0000-0002-0565-0411)
- Weiwei Zhang (ORCID: https://orcid.org/0000-0002-6560-0109)
- Dongqing Yuan (ORCID: https://orcid.org/0000-0002-2960-927X)
Institutions
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- International Journal of Ophthalmology
- Published
- 2025-06-20
- DOI
- https://doi.org/10.18240/ijo.2025.07.02
- Citations
- 1
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province