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PeerPen, a writing assistance tool embedded within a Reddit-like interface, supporting two main features: draft generation and revision of user-written responses, is built and it is found that PeerPen reduced the burden of composing responses and increased confidence in offering support.
The Nimblemind Multi-Agent System is developed, an evidence-linked, rubric-grounded pipeline for automated heart-failure feature engineering, and evaluation was limited to a single-institution cohort and external validation is needed, demonstrating the feasibility of automated, auditable feature engineering for complex...
The findings suggest that open-source models, when trained with community-derived preference signals, can support high-quality mental health support assistance while offering a more privacy-preserving alternative for sensitive support contexts.
The feasibility of using a configurable, source-grounded extraction workflow to convert fragmented oncology documentation into reusable structured data is supported.
The NimbleMind Multi-Agent System (nMAS) is evaluated, a configurable workflow that separates clinician-defined field specifications from extraction models and returns report-level predictions with source-linked evidence within a clinician-reviewable workflow.
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