Artificial intelligence medical device standards network based on social network analysis and TOPSIS method

Abstract

The objective of this study is to summarize the standardization progress in the field of artificial intelligence medical devices, study the global artificial intelligence medical device standards citation network, identify the core standards in this field, and promote the standardization development of artificial intelligence medical devices. Based on public data from platforms such as China National Standard Information Public Service Platform and IEEE, relevant standards of artificial intelligence medical devices were searched. The core standards in the field were identified by constructing standards citation network. The importance of each standard was measured by using the TOPSIS method, which considers degree centrality and eccentricity. The results were then visualized: (1) In July 2023, a total of 10 artificial intelligence medical device standards were obtained, with a total of 22 standards cited. (2) Through the construction of the standards citation network, it was found that basic standards related to terms and data sets were cited the most. (3) After applying the TOPSIS method, the five core standards were found to focus on safety requirements, basic terminology requirements, data set requirements, and provisions for the application of artificial intelligence in medical imaging.

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