From retina to brain: how deep learning closes the gap in silent stroke screening.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41233502.
- Also identified by DOI 10.1038/s41746-025-02021-2 and PMC identifier 12615647.
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Abstract
Silent brain infarctions (SBIs), affecting 20% of adults and increasing stroke risk, evade routine MRI screening. While retinal scans offer a “window to the brain,” prior AI failed to simultaneously detect SBIs and predict strokes. DeepRETStroke overcomes this by analysing eye scans. Trained on ~900,000 images, it uses deep learning combining self-supervised pattern recognition from unlabeled images, semi-supervised SBI detection with limited MRI, and knowledge transfer refinement, transforming eye exams into affordable stroke screenings.