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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Bibliografske podrobnosti

Principais autores:	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:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-03-01
Serija:	Ophthalmology Science
Teme:	Machine learning Optical coherence tomography Neovascular age-related macular degeneration Faricimab Treatment
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2666914523001173
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