Objective:To analyze the hotspots and trends of the researches on artificial intelligence (AI) in the diagnosis and treatment of traumatic brain injury (TBI).Methods:Based on the core database of Web of Science, the studies over AI in the diagnosis and treatment of TBI published from January 2000 to June 2024 were obtained by searching with the subject headings. VOSviewer software was used to analyze the publication year trend, country publication volume, country cooperation network, author publication volume, author citation frequency and author cooperation network. CiteSpace software was also used to identify key words with a significant rise in frequency over a short period of time to obtain the research trends.Results:A total of 2 662 relevant studies were retrieved, from which 677 related with AI in the diagnosis and treatment of TBI were finally enrolled. The number of published studies per year generally showed a rapid growth from 2018 to 2023. The United States had the highest number of publications as a country (362 studies). The author Camarillo had the most publications (9 studies). Rehabilitation was the keyword with the highest frequency (133 times) and the clustering topics containing the three largest number of keywords were virtual reality (VR), mild TBI, and deep learning. The keywords of mobile application, mobile health and intracranial pressure showed a significant increase in frequency from January 2022 to June 2024.Conclusions:VR technology, mild TBI and deep learning technology are the research hotspots of AI in TBI diagnosis and treatment. Mobile apps, mobile health, and intracranial pressure may be new research trends for AI in the diagnosis and treatment of TBI.