Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021
Background: The intensive care unit is a center for massive data collection, making it the best field to embrace big data and artificial intelligence. Objective: This study aimed to provide a literature overview on the development of artificial intelligence in critical care medicine (CCM) and tried...
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| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/13/1/50 |
| _version_ | 1797440157669916672 |
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| author | Xiao Cui Yundi Chang Cui Yang Zhukai Cong Baocheng Wang Yuxin Leng |
| author_facet | Xiao Cui Yundi Chang Cui Yang Zhukai Cong Baocheng Wang Yuxin Leng |
| author_sort | Xiao Cui |
| collection | DOAJ |
| description | Background: The intensive care unit is a center for massive data collection, making it the best field to embrace big data and artificial intelligence. Objective: This study aimed to provide a literature overview on the development of artificial intelligence in critical care medicine (CCM) and tried to give valuable information about further precision medicine. Methods: Relevant studies published between January 2010 and June 2021 were manually retrieved from the Science Citation Index Expanded database in Web of Science (Clarivate), using keywords. Results: Research related to artificial intelligence in CCM has been increasing over the years. The USA published the most articles and had the top 10 active affiliations. The top ten active journals are bioinformatics journals and are in JCR Q1. Prediction, diagnosis, and treatment strategy exploration of sepsis, pneumonia, and acute kidney injury were the most focused topics. Electronic health records (EHRs) were the most widely used data and the “-omics” data should be integrated further. Conclusions: Artificial intelligence in CCM has developed over the past decade. With the introduction of constantly growing data volume and novel data types, more investigation on artificial intelligence ethics and model correctness and extrapolation should be performed for generalization. |
| first_indexed | 2024-03-09T12:03:05Z |
| format | Article |
| id | doaj.art-c51291da5b094eeda206dde8a835ecf2 |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-09T12:03:05Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-c51291da5b094eeda206dde8a835ecf22023-11-30T23:01:27ZengMDPI AGJournal of Personalized Medicine2075-44262022-12-011315010.3390/jpm13010050Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021Xiao Cui0Yundi Chang1Cui Yang2Zhukai Cong3Baocheng Wang4Yuxin Leng5Department of Critical Care Medicine, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, ChinaDepartment of Critical Care Medicine, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, ChinaDepartment of Critical Care Medicine, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, ChinaDepartment of Anesthesiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, ChinaNational Science Library, Chinese Academy of Sciences, 33 Beisihuan Xilu, Haidian District, Beijing 100090, ChinaDepartment of Critical Care Medicine, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, ChinaBackground: The intensive care unit is a center for massive data collection, making it the best field to embrace big data and artificial intelligence. Objective: This study aimed to provide a literature overview on the development of artificial intelligence in critical care medicine (CCM) and tried to give valuable information about further precision medicine. Methods: Relevant studies published between January 2010 and June 2021 were manually retrieved from the Science Citation Index Expanded database in Web of Science (Clarivate), using keywords. Results: Research related to artificial intelligence in CCM has been increasing over the years. The USA published the most articles and had the top 10 active affiliations. The top ten active journals are bioinformatics journals and are in JCR Q1. Prediction, diagnosis, and treatment strategy exploration of sepsis, pneumonia, and acute kidney injury were the most focused topics. Electronic health records (EHRs) were the most widely used data and the “-omics” data should be integrated further. Conclusions: Artificial intelligence in CCM has developed over the past decade. With the introduction of constantly growing data volume and novel data types, more investigation on artificial intelligence ethics and model correctness and extrapolation should be performed for generalization.https://www.mdpi.com/2075-4426/13/1/50artificial intelligencecritical care medicineintensive care unitsprecision medicinebig databibliometric analysis |
| spellingShingle | Xiao Cui Yundi Chang Cui Yang Zhukai Cong Baocheng Wang Yuxin Leng Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021 Journal of Personalized Medicine artificial intelligence critical care medicine intensive care units precision medicine big data bibliometric analysis |
| title | Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021 |
| title_full | Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021 |
| title_fullStr | Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021 |
| title_full_unstemmed | Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021 |
| title_short | Development and Trends in Artificial Intelligence in Critical Care Medicine: A Bibliometric Analysis of Related Research over the Period of 2010–2021 |
| title_sort | development and trends in artificial intelligence in critical care medicine a bibliometric analysis of related research over the period of 2010 2021 |
| topic | artificial intelligence critical care medicine intensive care units precision medicine big data bibliometric analysis |
| url | https://www.mdpi.com/2075-4426/13/1/50 |
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