Artificial Intelligence #artificial intelligence#computer vision
EyeMVP AI Model Enhances Retinal Screening by Learning OCT Insights from Fundus Photos
Researchers developed EyeMVP, a cross-modal retinal foundation model that enriches color fundus photography (CFP) with depth-resolved information from optical coherence tomography (OCT). Pretrained on 674,893 paired images from 112,642 patients across eight Chinese hospitals, EyeMVP outperforms leading models on 16 downstream tasks including macular edema detection (AUROC 0.948 vs 0.852) and myopic macular schisis (0.825).
Jun 16, 2026 1 source
