Article
Comparing tangible retinal image characteristics with deep learning features reveals their complementarity for gene association and disease prediction
2025-04-07
Abstract excerpt
<title>Abstract</title> <p>Advances in AI, including deep learning (DL), are transforming medical image analysis by enabling automated disease risk predictions. However, DL's outputs and latent space representations often lack interpretability, impeding clinical trust and biological insight. In this study, we evaluated <italic>RETFound</italic>, a foundation model for retinal images, by comparing its predictive p...
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Identifiers and source
- Literature Corpus work
- 2f96c83e-913c-5ca4-b770-9390c6589288
- DOI
- 10.21203/rs.3.rs-6130721/v1
