医学
工作流程
人工智能
领域(数学)
自然语言处理
放射科
英语
数据科学
计算机科学
语言学
数据库
数学
哲学
纯数学
作者
Pratheek S. Bobba,Anne Sailer,James A. Pruneski,Spencer Beck,Ali Mozayan,Sara Mozayan,Jennifer Arango,Arman Cohan,Sophie Chheang
标识
DOI:10.1016/j.clinimag.2023.02.014
摘要
Natural language processing (NLP) is a wide range of techniques that allows computers to interact with human text. Applications of NLP in everyday life include language translation aids, chat bots, and text prediction. It has been increasingly utilized in the medical field with increased reliance on electronic health records. As findings in radiology are primarily communicated via text, the field is particularly suited to benefit from NLP based applications. Furthermore, rapidly increasing imaging volume will continue to increase burden on clinicians, emphasizing the need for improvements in workflow. In this article, we highlight the numerous non-clinical, provider focused, and patient focused applications of NLP in radiology. We also comment on challenges associated with development and incorporation of NLP based applications in radiology as well as potential future directions.
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