Objective To analyze publications of artificial intelligence-related methods’ application 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 literatures published on the application of artificial intelligence-related methods in medical field was increasing year by year. Nowadays, the number of studies published in America was the largest, and in China it was the sixth (first in developing countries). The numbers of the first author from the United States or China were in the top two, which were significantly leading in the world. 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.Conclusion 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 literatures published in interdisciplinary journals is increasing gradually, reflecting that the research and application of artificial intelligence-related methods in medicine have become a research hotspot in recent years.