An AI model to estimate visual acuity based solely on cross-sectional OCT imaging of various diseases

PURPOSE: To develop an artificial intelligence (AI) model for estimating best-corrected visual acuity (BCVA) using horizontal and vertical optical coherence tomography (OCT) scans of various retinal diseases and examine factors associated with its accuracy. METHODS: OCT images and associated BCVA me...

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Detalles Bibliográficos
Autores principales: Inoda, Satoru, Takahashi, Hidenori, Arai, Yusuke, Tampo, Hironobu, Matsui, Yoshitsugu, Kawashima, Hidetoshi, Yanagi, Yasuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Retinal Disorders
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543844/
https://www.ncbi.nlm.nih.gov/pubmed/37166519
http://dx.doi.org/10.1007/s00417-023-06054-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543844/
https://www.ncbi.nlm.nih.gov/pubmed/37166519
http://dx.doi.org/10.1007/s00417-023-06054-9

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