Abstract:

The large language model (LLM), as a natural language processing technique, has been widely used in clinical medical record writing. The application of LLM can quickly summarize and organize complex, lengthy, and even very messy inquiry records, transforming unordered narratives into structured academic language, and generating basically standardized medical history records. Traumatic brain injury (TBI) is a common emergency in neurosurgery, and the emergence of LLM may bring significant changes to the medical history of TBI, significantly improving the work efficiency of clinical doctors and enabling the rapid establishment of personalized treatment plans. As a new tool of artificial intelligence, LLM may encounter various problems in clinical application, and requires synchronous research and promotion in clinical ethics, regulations, and other aspects. This article summarizes recent published literature and provides a review of the advantages, application prospects, and current issues of LLM in assisting in the completion of TBI clinical documents.

Key words: Large language model, Traumatic brain injury, Artificial intelligence, Medical record writing