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#artificial intelligence Preprint Sep 2026

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. · 0 citations
Review Open access Aug 2026

Multimodal artificial intelligence agents in healthcare: a scoping review

Multimodal artificial intelligence (AI) agents are emerging in healthcare as systems that integrate heterogeneous clinical data, foundation models (FMs), tools, and agentic workflows, but their applications and translational readiness remain unclear. We conducted a scoping review of 37 peer-reviewed studies publish...

Kai Yu, Shuang Zhou, Yu Hou et al. · 1 citation

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