AI RESEARCH
GOLDMARK: Governed Outcome-Linked Diagnostic Model Assessment Reference Kit
arXiv CS.CV
•
ArXi:2603.20848v1 Announce Type: new Computational biomarkers (CBs) are histopathology-derived patterns extracted from hematoxylin-eosin (H&E) whole-slide images (WSIs) using artificial intelligence (AI) to predict therapeutic response or prognosis. Recently, slide-level multiple-instance learning (MIL) with pathology foundation models (PFMs) has become the standard baseline for CB development.