首页|University of Valle Reports Findings in Artificial Intelligence (Usefulness of A rtificial Intelligence In Traumatic Brain Injury: a Bibliometric Analysis and Mi nireview)
University of Valle Reports Findings in Artificial Intelligence (Usefulness of A rtificial Intelligence In Traumatic Brain Injury: a Bibliometric Analysis and Mi nireview)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Cali, Colombia, by NewsRx correspondents, research stated, “Traumatic brain injury (T BI) has become a major source of disability worldwide, increasing the interest i n algorithms that use Artificial Intelligence (AI) to optimize the interpretatio n of imaging studies, prognosis estimation, and critical care issues. In this st udy we present a bibliometric analysis and Mini Review on the main uses that hav e been developed for TBI in AI.” Our news editors obtained a quote from the research from the University of Valle , “The results informing this review come from a Scopus database search as of Ap ril 15, 2023. The bibliometric analysis was carried out via the mapping bibliogr aphic metrics method. Knowledge mapping was made in the VOSviewer software (V1.6 .18), analyzing the ‘link strength’ of networks based on co-occurrence of keywor ds, countries co-authorship and co-cited authors. In the mini-review section, we highlight the main findings and contributions of the studies. A total of 495 sc ientific publications were identified from 2000 to 2023, with 9262 citations pub lished since 2013. Among the 160 journals identified, The Journal of Neurotrauma , Frontiers in Neurology, and Plos One where those with the greatest number of p ublications. The most frequently co-occurring keywords were: ‘machine learning’, ‘deep learning’, ‘magnetic resonance imaging’, and ‘intracranial pressure’. The United States accounted for more collaborations than any other country, followe d by United Kingdom and China. Four co-citation author clusters were found, and the top 20 papers were divided into reviews and original articles.”
CaliColombiaSouth AmericaArtificia l IntelligenceBrain Diseases and ConditionsBrain InjuryCentral Nervous Sys tem Diseases and ConditionsCraniocerebral TraumaEmerging TechnologiesHealt h and MedicineMachine Learning
NETL
NSTL
