ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports
Researchers have introduced ChestPheNoT, a system designed to extract clinical data from radiology reports while maintaining local processing and auditability. This tool addresses the challenge of identifying patient phenotypes without relying on extensive manual expert annotation, potentially improving the efficiency of clinical analytics and quality audits in healthcare settings.
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- AarXiv CS.AI↗Kai Yu, Chenyu Zhu, Zaifu Zhan, Meijia Song, Min Zeng, Xiaoyi Chen, Mingquan Lin, Rui Zhang2d ago