Large language models (LLMs) are increasingly being explored for a wide range of applications in radiology, offering the potential to enhance clinical workflows, improve diagnostic accuracy, and support patient communication. In this scoping review the authors examine the current and emerging uses of LLMs on radiology text, focusing on areas such as report generation, structured data extraction, workflow optimization, and clinical decision support. A literature search was conducted on PubMed and…