Abstract

The development of DVIS is valuable for ICL vault prediction models, as it provides a data wrangling strategy that improves ML efficiency. Experimental results confirm the applicability of this synergistic method in enhancing existing ML approaches for ICL vault prediction, thereby facilitating more informed clinical decision-making in ICL implantation surgery.

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Year
2025
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Xiaoli Li, Hongbin Lin, Guo‐Liang Fan et al. (2025). EVO-ICL Vault Prediction: A Data Wrangling Framework Integrating Multicenter Big Data and Machine Learning. Ophthalmology and Therapy . https://doi.org/10.1007/s40123-025-01288-8

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DOI
10.1007/s40123-025-01288-8