Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence

Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence

To predict visual acuity (VA) and post-therapeutic optical coherence tomography (OCT) images 1, 3, and 6 months after laser treatment in patients with central serous chorioretinopathy (CSC) by artificial intelligence (AI). Real-world clinical and imaging data were collected at Zhongshan Ophthalmic C...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Fabao Xu, Cheng Wan, Lanqin Zhao, Shaopeng Liu, Jiaming Hong, Yifan Xiang, Qijing You, Lijun Zhou, Zhongwen Li, Songjian Gong, Yi Zhu, Chuan Chen, Li Zhang, Yajun Gong, Longhui Li, Cong Li, Xiayin Zhang, Chong Guo, Kunbei Lai, Chuangxin Huang, Daniel Ting, Haotian Lin, Chenjin Jin
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
artificial intelligence
machine learning
central serous chorioretinopathy
visual acuity
optical coherence tomography
Biotechnology
TP248.13-248.65
Acceso en línea:https://doaj.org/article/77043c3c317c453187143675f523cdb3
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/77043c3c317c453187143675f523cdb3

Ejemplares similares