Retinal hyperspectral imaging

1. Retinal hyperspectral imaging predicts brain amyloid status in silico (AUC 0.90, accuracy 0.86).

   “Multi‐Layer Perceptron (MLP) model exhibited superior classification performance, achieving an accuracy of 0.86, precision of 0.88, recall of 0.82, F1‐score of 0.85, and area under curve (AUC) of 0.90.”

   In silicoMulti-Layer Perceptron (MLP) modeln = 68

   Hyperspectral Retinal Imaging as a Non‐Invasive Technique to Determine Brain Amyloid Status

   AAIC 2025 abstract·10 Jan 2026

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