HARMON-E: AI Extracts Structured Data from Oncology Notes
Published:Dec 22, 2025 20:38
•1 min read
•ArXiv
Analysis
This research paper introduces HARMON-E, a novel approach using hierarchical agentic reasoning for extracting structured data from unstructured oncology notes. The focus on multimodal data processing indicates a potential for robust and comprehensive data extraction in a complex domain.
Key Takeaways
- •HARMON-E aims to structure data from multimodal oncology notes.
- •The method utilizes hierarchical agentic reasoning.
- •The research is published on ArXiv indicating ongoing development.
Reference
“HARMON-E leverages hierarchical agentic reasoning.”