Machine Learning to Predict Faricimab Treatment Outcome in Neovascular Age-Related Macular Degeneration

Machine Learning to Predict Faricimab Treatment Outcome in Neovascular Age-Related Macular Degeneration

Purpose: To develop machine learning (ML) models to predict, at baseline, treatment outcomes at month 9 in patients with neovascular age-related macular degeneration (nAMD) receiving faricimab. Design: Retrospective proof of concept study. Participants: Patients enrolled in the phase II AVENUE trial...

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Bibliographic Details
Main Authors: Yusuke Kikuchi, PhD, Michael G. Kawczynski, MS, Neha Anegondi, MTech, Ales Neubert, PhD, Jian Dai, PhD, Daniela Ferrara, MD, PhD, Carlos Quezada-Ruiz, MD
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Ophthalmology Science
Subjects:
Machine learning
Optical coherence tomography
Neovascular age-related macular degeneration
Faricimab
Treatment
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523001173

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http://www.sciencedirect.com/science/article/pii/S2666914523001173

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