ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports
CHESTPHENOT is a compact 0.5-3B language model that jointly extracts finding labels, three-class status (present/absent/uncertain), and verbatim supporting evidence spans and demonstrates that locally deployable models can provide competitive and directly auditable radiology-report extraction without relying on externa...
Kai Yu, Chen-Yu Zhu, Zai-Fu Zhan et al.
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