Predicting post-operative vault and optimal implantable collamer lens size using machine learning based on various ophthalmic device combinations

Predicting post-operative vault and optimal implantable collamer lens size using machine learning based on various ophthalmic device combinations

Abstract Background Implantable Collamer Lens (ICL) surgery has been proven to be a safe, effective, and predictable method for correcting myopia and myopic astigmatism. However, predicting the vault and ideal ICL size remains technically challenging. Despite the growing use of artificial intelligen...

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Bibliographic Details
Main Authors: Xi Chen, Yiming Ye, Huan Yao, Chang Liu, Anqi He, Xiangtao Hou, Keming Zhao, Zedu Cui, Yan Li, Jin Qiu, Pei Chen, Ying Yang, Jing Zhuang, Keming Yu
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BioMedical Engineering OnLine
Subjects:
Implantable collamer lens
Machine learning
Multi-device data
Vault prediction
Size selection
Online Access:https://doi.org/10.1186/s12938-023-01123-w

Internet

https://doi.org/10.1186/s12938-023-01123-w

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