Meixia Du

From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports

Abstract Background High workload and inconsistent quality of ultrasound report writing may lead to diagnostic errors. This study aims to ascertain whether fine-tuned open-source large language models (LLMs) can achieve promising performance for automated quality control of Chine...