Articles: bibliometric-analysis.
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Artificial intelligence (AI) has the potential to augment clinicians' diagnostic and decision-making capabilities. It is well suited to identify patterns and correlations within data sets and may be applied to identify elements of importance in complex and data-laden areas such as patient selection, diagnostics, treatment, and outcome prediction. The development of modern neurosurgery has been dependent on major technological advances. In line with this, a growing interest is seen in the use of AI to assist in neurosurgical research and enhance neurosurgical practices. ⋯ This review highlights the most-impactful articles pertaining to AI in the field of neurosurgery. Although female authors were significantly underrepresented on the list, their work was at least as impactful as their male peers. Finally, the striking dominance of articles originating from the developed world raises concerns as to the future of AI in attending to the global health crisis.
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The accelerated growth of endoscopic endonasal skull base surgery has led to an abundance of highly cited works that have helped shape the field into its current state. Highlighting these works can serve as a guide for trainees and facilitate evidence-based clinical decision making and operative techniques. ⋯ This article provides a list of highly influential articles in the field of endoscopic endonasal skull base surgery, highlighting its rapid evolution over the last 3 decades and demonstrating its leap from small descriptive series confined to certain pathologies to larger cohorts exploring possible boundaries and other pathologies.
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This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause.
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Cerebral cavernous malformations (CCMs) or cavernomas, are low-flow sinusoidal vascular anomalies of the central nervous system comprised of capillary networks filled with blood in various stages of thrombosis. This bibliometric analysis summarizes the most-cited articles on CCM and highlights the contributing articles to today's evidence-based practice. ⋯ The bibliometric analysis provides a quantitative overview of how medical topics and interventions are analyzed in academic medicine. In the present study, we evaluated the global trends in CCMs by analyzing the top 100 most cited papers.
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Although numerous publications on three-dimensional printing (3DP) in spine surgery have been published, bibliometric analysis studies are scarce. Thus, this study aimed to present a bibliometric analysis of the status, hot spots, and frontiers of 3DP in spine surgery and associated research disciplines. ⋯ This analysis provides information on research trends and frontiers in the application of 3DP in spine surgery, as well as research and collaboration partners, institutions, and countries.