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New AI system helps clinicians query oncology databases using natural language instead of SQL, learning from user feedback to improve over time
arXiv cs.CL · April 20, 2026
AI Summary
- •FD-NL2SQL is a feedback-driven assistant that converts natural language questions into executable SQL queries for SQLite-based oncology trial repositories
- •Uses a schema-aware LLM that decomposes questions into sub-questions and retrieves expert-verified SQL examples via sentence embeddings
- •Improves with use by incorporating two feedback mechanisms: clinician-approved SQL edits added to an exemplar bank and logic-based SQL augmentation testing atomic mutations
- •Designed for clinicians exploring complex multi-constraint queries involving biomarkers, endpoints, interventions, and time without requiring SQL schema expertise
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