LAUSR

Key Points Question Can natural language processing (NLP) be used to generate chest radiograph (CXR) captions? Findings In this diagnostic study including 74 082 CXR cases labeled with NLP for 23 abnormal signs to train convolutional neural networks, an independent prospective test data set of 5091 participants was examined. The reporting time using NLP-generated captions as prior information was 283 seconds, significantly shorter than the normal template (347 seconds) and rule-based model (296 seconds), while maintaining good consistency with radiologists. Meaning The findings of this study suggest that NLP can be used to generate CXR captions, which provides a priori information for writing reports and may make CXR interpretation more efficient.