AI RESEARCH
GreenRFM: Toward a resource-efficient radiology foundation model
arXiv CS.CV
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ArXi:2603.06467v1 Announce Type: new The development of radiology foundation models (RFMs) is hindered by a reliance on brute-force scaling. Existing approaches often directly translate methods for natural images, which prioritize scale over precision and hence lead to brittle and expensive models in clinical practice. To address this, we present a resource-efficient pre-