Articles: bibliometric-analysis.
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Though currently considered a 'black box,' machine learning (ML) has a promising future to ameliorate the health-care burden of stroke which is the second leading cause of mortality worldwide. Through this study, we sought to review the most influential articles on the applications of ML in stroke. ⋯ Recent years have witnessed a surge in the application of ML in stroke, with an enhancement in interest and funding over the years. ML has revolutionized the management of stroke and continues to aid in the neurosurgical decision-making and care in stroke patients.
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Since tethered cord syndrome (TCS) may lead to neurologic and motor dysfunction, surgeries often are applied to relieve the symptoms. The aim of the research was to explore the current global research trends of TCS surgery. ⋯ This study will help researchers to identify the mainstream research directions and the latest hotspots in the field of TCS surgery and provide a reference for further research.
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The aim of this study was to provide a bibliometric analysis of reported clinical trials of interventional spinal cord injury (SCI) and present the current status, global trends, and scholars' knowledge in this field. ⋯ There is a broad research collaboration network, although it is distributed unevenly worldwide. International standards and guidelines are needed to conduct high-quality clinical trials in the future.