Artificial Intelligence–Based Diagnostic Model for Detecting Keratoconus Using Videos of Corneal Force Deformation

PURPOSE: To develop a novel method based on biomechanical parameters calculated from raw corneal dynamic deformation videos to quickly and accurately diagnose keratoconus using machine learning. METHODS: The keratoconus group was included according to Rabinowitz's criteria, and the normal group...

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Detalles Bibliográficos
Autores principales: Tan, Zuoping, Chen, Xuan, Li, Kangsheng, Liu, Yan, Cao, Huazheng, Li, Jing, Jhanji, Vishal, Zou, Haohan, Liu, Fenglian, Wang, Riwei, Wang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527334/
https://www.ncbi.nlm.nih.gov/pubmed/36178782
http://dx.doi.org/10.1167/tvst.11.9.32

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527334/
https://www.ncbi.nlm.nih.gov/pubmed/36178782
http://dx.doi.org/10.1167/tvst.11.9.32

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