HARMON-E: AI Extracts Structured Data from Oncology Notes
Research#Agent🔬 Research|Analyzed: Jan 10, 2026 08:25•
Published: Dec 22, 2025 20:38
•1 min read
•ArXivAnalysis
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 / Citation
View Original"HARMON-E leverages hierarchical agentic reasoning."