From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports
It is demonstrated that task-specific fine-tuning enables open-source LLMs to rival proprietary LLMs and expert radiologists in Chinese ultrasound report error detection, offering a locally deployable and privacy-preserving, and regulation-compliant solution for enhancing reporting consistency and reducing diagnostic e...
Min Lai, Jin Zhang, Ya-Er Lv et al.
· Insights into Imaging · 0 citations