Deep learning uncovers optimal images for predicting treatment outcomes in age-related macular degeneration, suggesting enhanced clinical application.
Age-related macular degeneration, one of the primary causes of blindness, requires effective prediction of mid-term treatment outcomes to support the ongoing administration of the standard therapy. Our previous work relied on specialist interpretation and manual extraction of images, which limits their applicability in broader practical application. To address this limitation, this study aims to develop a deep learning-based framework capable of automatically identifying an optimal "champion" image from a set of candidate images.
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Deng et al. (2025) studied this question.
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