Key result
Research on artificial intelligence in anesthesia is rapidly growing, with the number of articles increasing from 4 in 2017 to 37 in 2021, primarily focusing on anesthesia management.
Why the study?
Literature on artificial intelligence in anesthesia is rapidly growing and can support clinical decisions, making it crucial to delineate research features.
Research on artificial intelligence in anesthesia is rapidly growing and primarily focused on anesthesia management, but requires more robust clinical studies and stronger international collaboration.
Growth in AI anesthesia literature signals emerging interest but limited collaboration; leaves open need for multicenter trials before clinical adoption.
Background: The scientific literature on Artificial Intelligence (AI) in anesthesia is rapidly growing. Considering that applications of AI strategies can offer paramount support in clinical decision processes, it is crucial to delineate the research features. Bibliometric analyses can provide an overview of research tendencies useful for supplementary investigations in a research field. Methods: The comprehensive literature about AI in anesthesia was checked in the Web of Science (WOS) core collection. Year of publication, journal metrics including impact factor and quartile, title, document type, topic, and article metric (citations) were extracted. The software tool VOSviewer (version 1.6.17) was implemented for the co-occurrence of keywords and the co-citation analyses, and for evaluating research networks (countries and institutions). Results: Altogether, 288 documents were retrieved from the WOS and 154 articles were included in the analysis. The number of articles increased from 4 articles in 2017 to 37 in 2021. Only 34 were observational investigations and 7 RCTs. The most relevant topic is “anesthesia management”. The research network for countries and institutions shows severe gaps. Conclusion: Research on AI in anesthesia is rapidly developing. Further clinical studies are needed. Although different topics are addressed, scientific collaborations must be implemented.
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Cascella et al. (2022) studied Artificial Intelligence in Anesthesia (n=154). Artificial Intelligence in Anesthesia was evaluated on Bibliometric trends and research networks. Research on artificial intelligence in anesthesia is rapidly growing, with the number of articles increasing from 4 in 2017 to 37 in 2021, primarily focusing on anesthesia management.
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