• 1. West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu 610041, P.R.China;
  • 2. Medical School of Huzhou University, Huzhou 313000, P.R.China;
YANG Xiaoyan, Email: yangxiaoyan@scu.edu.cn
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Objective To analyze publications of the application of artificial intelligence related methods in medicine.Methods PubMed and EMbase databases were electronically searched. Pathfinder Networks (PFNETs) algorithm, co-word network analysis and visualization technology were applied to analyze the time trend, journal distribution, and co-word structure of high-frequency medical keywords in key journals.Results The amount of literature published on the application of artificial intelligence related methods in the medical field had been increasing annually. Nowadays, the number of studies published in the United States was the largest, and that in China, it was the sixth (first in developing countries). The number of the first author from the United States or China were among the top two, which were significantly more than any other regions. In 2012, IEEE Trans Neural Netw Learn Syst in the computer field became one of the major contributing journals. In recent years, the methods and applications proposed in the medical field were closely related to natural language processing, neural networks, and support vector machines.Conclusions At present, the United States is in a leading position in terms of artificial intelligence in medicine, and China has also abundant research strength. The number of medical literature published in interdisciplinary journals is increasing gradually, showing that the research and application of artificial intelligence related methods in medicine have become a research hotspot in recent years.

Citation: CHEN Junren, ZENG Yu, ZHANG Chao, SHEN Jiantong, YANG Xiaoyan. Literature dissemination of artificial intelligence applications in medicine: a visualization study. Chinese Journal of Evidence-Based Medicine, 2021, 21(8): 973-979. doi: 10.7507/1672-2531.202102036 Copy

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