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Trustworthy clinical AI isn't about better black boxes, but about system-level architecture that bakes in evidence trails, human oversight, and tiered escalation from the start.
Forget prompting LLMs to directly predict hundreds of fields: a two-stage approach with a stable intermediate JSON summary and a deterministic compiler achieves strong performance on CRF filling while being language-agnostic.
