Conclusions
We developed and integrated an AI-assisted captioning system capable of interpreting multiple abnormal signs on CXR, which provided a priori information for residents and radiologists and was associated with greater efficiency in their work. In this diagnostic study, the NLP-generated CXR captions showed good consistency with expert radiologists, which was better than the commonly used normal template and rule-based model, highlighting the ability of AI-assisted CXR diagnosis. Further research should aim at collecting a broader data set to enhance the quality of the dictionary and the AI models.