AINeutralarXiv – CS AI · 15h ago6/10
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Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline
Researchers developed a hybrid neural-symbolic pipeline for extracting clinical follow-up instructions from outpatient notes, pairing medical actions with future dates. The system significantly outperformed generative AI models (GPT-4o-mini and LLaMA-3) at linking actions to dates, achieving 99.7% F1 score on seen data versus 51-57% for baselines, demonstrating that symbolic reasoning outperforms pure language generation for structured clinical extraction tasks.
🧠 GPT-4