AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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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