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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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Literature Corpus work
2f96c83e-913c-5ca4-b770-9390c6589288
DOI
10.21203/rs.3.rs-6130721/v1
Open publication

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Comparing tangible retinal image characteristics with deep learning features reveals their complementarity for gene association and disease predictionDOI 10.21203/rs.3.rs-6130721/v1
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