A Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study Report 1

A Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study Report 1

Patients diagnosed with exudative neovascular age-related macular degeneration are commonly treated with anti-vascular endothelial growth factor (anti-VEGF) agents. However, response to treatment is heterogeneous, without a clinical explanation. Predicting suboptimal response at baseline will enable...

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Bibliographic Details
Main Authors: Michal Chorev, Jonas Haderlein, Shruti Chandra, Geeta Menon, Benjamin J. L. Burton, Ian Pearce, Martin McKibbin, Sridevi Thottarath, Eleni Karatsai, Swati Chandak, Ajay Kotagiri, James Talks, Anna Grabowska, Faruque Ghanchi, Richard Gale, Robin Hamilton, Bhavna Antony, Rahil Garnavi, Iven Mareels, Andrea Giani, Victor Chong, Sobha Sivaprasad
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Journal of Clinical Medicine
Subjects:
age-related macular degeneration
predictive modelling
multimodal artificial intelligence
aflibercept
loading-phase
Online Access:https://www.mdpi.com/2077-0383/12/8/3013

Internet

https://www.mdpi.com/2077-0383/12/8/3013

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