Kee-Ko-On Ng

CARDEA is a unified large vision-language model that serves as the inference core of a CAG pipeline that runs an end-to-end CAG pipeline from raw multi-view videos through keyframe selection to study-level diagnosis while exposing auditable spatial evidence behind its conclusions.