neurosurgical-book-parser

What problem does it solve?

This Skill extracts structured medical knowledge from neurosurgical and spine surgery textbooks, producing a typed knowledge graph of anatomical structures, surgical steps, clipping techniques, complications, and clinical relationships. It enables faster knowledge capture, multi-entity linking, and graph-based querying while retaining chapter and page context.

Core Features & Use Cases

• Chapter-aware extraction: preserves page and chapter context so identical terms map to different surgical scenarios.
• Domain-specific taxonomy: uses neurosurgical entity types (artery, aneurysm, procedure, technique, etc.) for precise modeling.
• Knowledge-graph ready output: data suitable for Neo4j or other graph databases to enable advanced queries, reasoning, and decision support.
• Use Case: convert the Seven Aneurysms textbook into a searchable knowledge graph for education, QA, and clinical planning.

Quick Start

Example: run the ingestion to parse MinerU output for Seven Aneurysms from mineru_output/Seven Aneurysms/auto/ and prepare data for graph loading.