General-Purpose Large Language Models Versus a Domain-Specific Natural Language Processing Tool for Label Extraction From Chest Radiograph Reports
Cody H. Savage, Hyoungsun Park, Kijung Kwak, Andrew D. Smith, Steven Rothenberg, Vishwa S. Parekh, Florence Xini Doo, Paul Hyunsoo Yi · American Journal of Roentgenology · 2024
GPT-4 outperformed a radiology domain-specific natural language processing model in classifying imaging findings from chest radiograph reports, both with and without predefined labels. Prompt engineering for context further improved performance. The findings indicate a role for large language models to accelerate artificial intelligence model development in radiology by automating data annotation.