Article

Comparing tangible retinal image characteristics with deep learning features reveals their complementarity for gene association and disease prediction

2024-12-27

Abstract excerpt

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 RETFound , a foundation model for retinal images, by comparing its predictive performance and genetic associations to thos...

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Literature Corpus work: 4637d289-b42a-5339-ab01-06f35bd7624c
DOI: 10.1101/2024.12.23.24319548

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