Artificial Intelligence for the Estimation of Visual Acuity Using Multi-Source Anterior Segment Optical Coherence Tomographic Images in Senile Cataract

PURPOSE: To investigate an artificial intelligence (AI) model performance using multi-source anterior segment optical coherence tomographic (OCT) images in estimating the preoperative best-corrected visual acuity (BCVA) in patients with senile cataract. DESIGN: Retrospective, cross-instrument valida...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahn, Hyunmin, Jun, Ikhyun, Seo, Kyoung Yul, Kim, Eung Kweon, Kim, Tae-im
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152093/
https://www.ncbi.nlm.nih.gov/pubmed/35655854
http://dx.doi.org/10.3389/fmed.2022.871382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152093/
https://www.ncbi.nlm.nih.gov/pubmed/35655854
http://dx.doi.org/10.3389/fmed.2022.871382

Ejemplares similares