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- W3015060290 endingPage "e0231192" @default.
- W3015060290 startingPage "e0231192" @default.
- W3015060290 abstract "Artificial intelligence (AI) assisted human brain research is a dynamic interdisciplinary field with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in application scope of AI-assisted human brain research. A comprehensive understanding of this field is necessary to assess research efficacy, (re)allocate research resources, and conduct collaborations. This paper combines the structural topic modeling (STM) with the bibliometric analysis to automatically identify prominent research topics from the large-scale, unstructured text of AI-assisted human brain research publications in the past decade. Analyses on topical trends, correlations, and clusters reveal distinct developmental trends of these topics, promising research orientations, and diverse topical distributions in influential countries/regions and research institutes. These findings help better understand scientific and technological AI-assisted human brain research, provide insightful guidance for resource (re)allocation, and promote effective international collaborations." @default.
- W3015060290 created "2020-04-10" @default.
- W3015060290 creator A5012373338 @default.
- W3015060290 creator A5017768318 @default.
- W3015060290 creator A5024244034 @default.
- W3015060290 creator A5074387667 @default.
- W3015060290 date "2020-04-06" @default.
- W3015060290 modified "2023-10-02" @default.
- W3015060290 title "Topics and trends in artificial intelligence assisted human brain research" @default.
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