A decomposition-first pipeline with topology-aware chunking and interface-constrained merging converts full clinical guidelines into executable decision graphs, raising edge precision from 19.6% to 69.0% and triplet recall from 16.1% to 87.5% on a prostate guideline benchmark.
Asbru: a task-specific, intention-based, and time-oriented language for representing skeletal plans
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Guideline2Graph: Profile-Aware Multimodal Parsing for Executable Clinical Decision Graphs
A decomposition-first pipeline with topology-aware chunking and interface-constrained merging converts full clinical guidelines into executable decision graphs, raising edge precision from 19.6% to 69.0% and triplet recall from 16.1% to 87.5% on a prostate guideline benchmark.