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Topics and trends in artificial intelligence assisted human brain research
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 brai...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7135272/ https://www.ncbi.nlm.nih.gov/pubmed/32251489 http://dx.doi.org/10.1371/journal.pone.0231192 |
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author | Chen, Xieling Chen, Juan Cheng, Gary Gong, Tao |
author_facet | Chen, Xieling Chen, Juan Cheng, Gary Gong, Tao |
author_sort | Chen, Xieling |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7135272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71352722020-04-09 Topics and trends in artificial intelligence assisted human brain research Chen, Xieling Chen, Juan Cheng, Gary Gong, Tao PLoS One Research Article 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. Public Library of Science 2020-04-06 /pmc/articles/PMC7135272/ /pubmed/32251489 http://dx.doi.org/10.1371/journal.pone.0231192 Text en © 2020 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Xieling Chen, Juan Cheng, Gary Gong, Tao Topics and trends in artificial intelligence assisted human brain research |
title | Topics and trends in artificial intelligence assisted human brain research |
title_full | Topics and trends in artificial intelligence assisted human brain research |
title_fullStr | Topics and trends in artificial intelligence assisted human brain research |
title_full_unstemmed | Topics and trends in artificial intelligence assisted human brain research |
title_short | Topics and trends in artificial intelligence assisted human brain research |
title_sort | topics and trends in artificial intelligence assisted human brain research |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7135272/ https://www.ncbi.nlm.nih.gov/pubmed/32251489 http://dx.doi.org/10.1371/journal.pone.0231192 |
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