Lee, See Young

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection

2025 · arXiv (Cornell University)

Background: The positive predictive value (PPV) of large language model (LLM)-based proofreading for radiology reports is limited due to the low error prevalence. Purpose: To assess whether a three-pass LLM framework enhances PPV and reduces …