A multi-stage framework with prompt calibration, rule-based filtering, semantic checks, judge LLM review, and predictive validation enables trustworthy LLM extraction of substance use disorder diagnoses from nearly 920,000 clinical notes, achieving F1 of 0.80 and superior care-engagement prediction.
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OncoBrain produced oncology treatment plans rated as guideline-concordant and safe by clinicians across five cancer specialties in a 173-case vignette evaluation.
citing papers explorer
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A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models
A multi-stage framework with prompt calibration, rule-based filtering, semantic checks, judge LLM review, and predictive validation enables trustworthy LLM extraction of substance use disorder diagnoses from nearly 920,000 clinical notes, achieving F1 of 0.80 and superior care-engagement prediction.
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Clinical Reasoning AI for Oncology Treatment Planning: A Multi-Specialty Case-Based Evaluation
OncoBrain produced oncology treatment plans rated as guideline-concordant and safe by clinicians across five cancer specialties in a 173-case vignette evaluation.