A bibliometrics analysis based on the application of artificial intelligence in the field of radiotherapy from 2003 to 2023.

ABSTRACT:

Background

Recent research has demonstrated that the use of artificial intelligence (AI) in radiotherapy (RT) has significantly streamlined the process for physicians to treat patients with tumors; however, bibliometric studies examining the correlation between AI and RT are not available. Providing a thorough overview of the knowledge structure and research hotspots between AI and RT was the main goal of the current study.

Method

A search was conducted on the Web of Science Core Collection (WoSCC) database for publications pertaining to AI and RT between 2003 and 2023. VOSviewers, CiteSpace, and the R program "bibliometrix" were used to do the bibliometric analysis.

Results

The analysis comprised 615 publications from 64 countries, with USA and China leading the pack

SUBMITTER: Lv M 

PROVIDER: S-EPMC11552138 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature