REVEAL uses vision-language alignment of retinal morphometry and clinical risk narratives plus group contrastive learning to predict AD and dementia about 8 years early.
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Pith papers citing it
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2026 2verdicts
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REVEAL++ replaces discrete phenotypic groups with differentiable soft multi-positive weighting derived from intra-modality embeddings in contrastive learning, outperforming prior discrete and baseline methods on UK Biobank incident AD prediction.
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REVEAL: Multimodal Vision-Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
REVEAL uses vision-language alignment of retinal morphometry and clinical risk narratives plus group contrastive learning to predict AD and dementia about 8 years early.
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REVEAL++: Differentiable Phenotypic Grouping for Vision-Language Retinal Modeling of Alzheimer's Disease Risk
REVEAL++ replaces discrete phenotypic groups with differentiable soft multi-positive weighting derived from intra-modality embeddings in contrastive learning, outperforming prior discrete and baseline methods on UK Biobank incident AD prediction.