A hybrid LLM-ML pipeline extracts features from clinical narratives and applies XGBoost for more stable pediatric appendicitis diagnosis than end-to-end LLMs.
Radiomics in medical imaging: Methods, applications, and challenges
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Language Models as Interfaces, Not Oracles: A Hybrid LLM-ML System for Pediatric Appendicitis
A hybrid LLM-ML pipeline extracts features from clinical narratives and applies XGBoost for more stable pediatric appendicitis diagnosis than end-to-end LLMs.