Datasets of "Neurosurgery and Artificial Intelligence: A Metric Analysis of Scopus-Indexed Original Articles (2014-2023)"

Introduction: A comprehensive analysis of artificial intelligence's (AI) integration into neurosurgery is vital to identify research priorities, address gaps, and inform strategies for equitable innovation. Objective: To conduct a bibliometric analysis of Scopus-indexed (2014-2023) original articles at the intersection of AI and neurosurgery. Method: A descriptive metric study was conducted on 91 original articles, employing productivity, impact, and collaboration indicators. SciVal facilitated data extraction, while VOSviewer 1.6.11 enabled the mapping of co-authorship networks and keyword co-occurrence. IBM SPSS Statistics 27 was used to determine correlations between variables of interest (Kendall’s rank correlation coefficient, statistically significant for p