Artificial Intelligence-Based Quantification of Central Macular Fluid Volume and VA Prediction for Diabetic Macular Edema Using OCT Images

Artificial Intelligence-Based Quantification of Central Macular Fluid Volume and VA Prediction for Diabetic Macular Edema Using OCT Images

Abstract Introduction We studied the correlation of central macular fluid volume (CMFV) and central subfield thickness (CST) with best-corrected visual acuity (BCVA) in treatment-naïve eyes with diabetic macular edema (DME) 1 month after anti-vascular endothelial growth factor (VEGF) therapy. Method...

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Bibliographic Details
Main Authors: Xin Ye, Kun Gao, Shucheng He, Xiaxing Zhong, Yingjiao Shen, Yaqi Wang, Hang Shao, Lijun Shen
Format: Article
Language:English
Published: Adis, Springer Healthcare 2023-06-01
Series:Ophthalmology and Therapy
Subjects:
Anti-vascular endothelial growth factor
Artificial intelligence
Central macular fluid volume
Central subfield thickness
Diabetic macular edema
Optical coherence tomography
Online Access:https://doi.org/10.1007/s40123-023-00746-5

Internet

https://doi.org/10.1007/s40123-023-00746-5

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