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- Title
Multimodal imaging and deep learning in geographic atrophy secondary to age‐related macular degeneration.
- Authors
Pfau, Maximilian; Künzel, Sandrine H.; Pfau, Kristina; Schmitz‐Valckenberg, Steffen; Fleckenstein, Monika; Holz, Frank G.
- Abstract
Geographic atrophy (GA) secondary to age‐related macular degeneration is among the most common causes of irreversible vision loss in industrialized countries. Recently, two therapies have been approved by the US FDA. However, given the nature of their treatment effect, which primarily involves a relative decrease in disease progression, discerning the individual treatment response at the individual level may not be readily apparent. Thus, clinical decision‐making may have to rely on the quantification of the slope of GA progression before and during treatment. A panel of imaging modalities and artificial intelligence (AI)‐based algorithms are available for such quantifications. This article aims to provide a comprehensive overview of the fundamentals of GA imaging, the procedures for diagnosis and classification using these images, and the cutting‐edge role of AI algorithms in automatically deriving diagnostic and prognostic insights from imaging data.
- Subjects
MACULAR degeneration; DEEP learning; ATROPHY; ARTIFICIAL intelligence; IMAGE recognition (Computer vision)
- Publication
Acta Ophthalmologica (1755375X), 2023, Vol 101, Issue 8, p881
- ISSN
1755-375X
- Publication type
Article
- DOI
10.1111/aos.15796