Retrospect and prospect: a visual analysis of artificial intelligence applications in neurorehabilitation
Tian, Y.; Mai, T.; Cai, M.; Wei, G.; Fang, F.
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ObjectiveTo explore the current research status and future development trend of artificial intelligence in neurorehabilitation. MethodsTo collect and organize the literature on AI in neurorehabilitation from the core collection of Web of Science (WOS) database in the past ten years, and summarize the current status and predict the future development trend of AI in neurorehabilitation by using VOSviewer software and CiteSpace software in Java language environment. ResultsA total of 326 documents were retrieved, with the highest number of publications in 2014 (81); the scholars with the most publications were LiChong and PanYu (6); the institution with the most publications was Tsinghua University (8); the journal with the most publications was Sensors (26); and the number of Chinese research in the field of AI applied to neurorehabilitation is leading in the world. The keyword analysis shows that the research hotspots of AI applied to neurorehabilitation in recent years are mainly in brain-computer interface, deep learning, and robotics. ConclusionRecently, artificial intelligence in neurorehabilitation has developed rapidly, and the number of papers has increased year by year, mainly focusing on brain-computer interface, deep learning, and robotics.
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