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 feasibility of using a configurable, source-grounded extraction workflow to convert fragmented oncology documentation into reusable structured data is supported.
Daniel Kang, Michelle Hu, Soorya Ram Shimgekar et al.· 0 citations
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.
Yu-Fan Wang, Anit Kumar Sahu, Y. Ng et al.· 1 citation
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