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.
A foundation model for generalizable disease detection from retinal images
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A cascaded edge-cloud architecture for diabetic retinopathy screening uses local triage to cut cloud calls by 50% with only a minor drop in grading performance on the APTOS 2019 dataset.
citing papers explorer
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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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Bridging the Rural Healthcare Gap: A Cascaded Edge-Cloud Architecture for Automated Retinal Screening
A cascaded edge-cloud architecture for diabetic retinopathy screening uses local triage to cut cloud calls by 50% with only a minor drop in grading performance on the APTOS 2019 dataset.