Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction

AIMS: To predict the vault and the EVO-implantable collamer lens (ICL) size by artificial intelligence (AI) and big data analytics. METHODS: Six thousand two hundred and ninety-seven eyes implanted with an ICL from 3536 patients were included. The vault values were measured by the anterior segment a...

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Detalles Bibliográficos
Autores principales: Shen, Yang, Wang, Lin, Jian, Weijun, Shang, Jianmin, Wang, Xin, Ju, Lie, Li, Meiyan, Zhao, Jing, Chen, Xun, Ge, Zongyuan, Wang, Xiaoying, Zhou, Xingtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Clinical Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887372/
https://www.ncbi.nlm.nih.gov/pubmed/34489338
http://dx.doi.org/10.1136/bjophthalmol-2021-319618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887372/
https://www.ncbi.nlm.nih.gov/pubmed/34489338
http://dx.doi.org/10.1136/bjophthalmol-2021-319618

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