A quantitative analysis of artificial intelligence research in cervical cancer: a bibliometric approach utilizing CiteSpace and VOSviewer

A quantitative analysis of artificial intelligence research in cervical cancer: a bibliometric approach utilizing CiteSpace and VOSviewer

BackgroundCervical cancer, a severe threat to women’s health, is experiencing a global increase in incidence, notably among younger demographics. With artificial intelligence (AI) making strides, its integration into medical research is expanding, particularly in cervical cancer studies. This biblio...

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Bibliographic Details
Main Authors: Ziqi Zhao, Boqian Hu, Kun Xu, Yizhuo Jiang, Xisheng Xu, Yuliang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Oncology
Subjects:
cervical cancer
artificial intelligence
bibliometrics
CiteSpace
VOSviewer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1431142/full

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