Bibliometrics researches on the application of artificial intelligence-aided diagnosis system in CT medical diagnosis

Abstract

Artificial Intelligence (AI) technology could provide new impetus for the development of medical image, and this also could be seen as the new developing chance for both AI and medical image. In this study, we are mainly focused on the Computed Tomography (CT) diagnostic technology in medical imaging. The analysis of AI-assisted CT diagnostic research aims to provide the overall status of this field. Therefore, the analysis of bibliometrics was applied. Bibliometrics is generated by the open literature index by national or international platforms, which can demonstrate the research features of AI-assisted CT diagnostic. Those obtained results indicate that the development of AI-assisted CT imaging medical research slowed down in the past 2 years. This change is affected by the appearance of some uncertainties. However, the total number of published literatures from all countries basically accelerated in the past decade. Take the year of 2022 as example; in this year, China and the United States were the world’s first and second largest contributors of relevant research literature. Researchers in these two countries have done plenty of works to the development of AI-assisted CT diagnostic. But in terms of literature influence, China still has a certain gap from the United States. Because of this, the number of high citation literature published from China is lower than those published from the United States. To some extent, this work presents the research progress of this field, so it is essential to review and apply experiences from those discussed countries.