What AI says about EAGLE

EAGLE (Efficient Approach for Guided Local Examination) is a deep learning framework for digital pathology that emulates pathologists by selectively analyzing informative regions in whole-slide images. It uses two foundation models—CHIEF for efficient tile selection and Virchow2 for high-quality feature extraction. In benchmarking across 31 tasks and four cancer types, EAGLE outperforms leading slide- and tile-level models in morphology, biomarker prediction, and prognosis.