Machine Learning to Predict Response to Ranibizumab in Neovascular Age-Related Macular Degeneration

Machine Learning to Predict Response to Ranibizumab in Neovascular Age-Related Macular Degeneration

Purpose: Neovascular age-related macular degeneration (nAMD) shows variable treatment response to intravitreal anti-VEGF. This analysis compared the potential of different artificial intelligence (AI)-based machine learning models using OCT and clinical variables to accurately predict at baseline th...

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Bibliographic Details
Main Authors: Andreas Maunz, PhD, Laura Barras, MSc, Michael G. Kawczynski, MS, Jian Dai, PhD, Aaron Y. Lee, MD, MSc, Richard F. Spaide, MD, Jayashree Sahni, MBBS, MD, Daniela Ferrara, MD, PhD
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Ophthalmology Science
Subjects:
Machine learning
Neovascular age-related macular degenration
Optical coherence tomography
Prediction
Ranibizumab
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523000519

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http://www.sciencedirect.com/science/article/pii/S2666914523000519

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