Unknown

Dataset Information

Research hotspots and trends of artificial intelligence in lymphoma: A bibliometric analysis from 2010 to 2024.


ABSTRACT:

Background

At present, artificial intelligence (AI) plays a significant role in the diagnosis, treatment, and prognosis of lymphoma. This study quantitatively analyzed the research hotspots and future trends in this field by using bibliometric software. The aim is to offer researchers a full understanding of the current research along with suggestions for future directions.

Methods

All relevant articles of AI in lymphoma research were retrieved from the Web of Science Core Collection database from 2010 to 2024. Bibliometric visualization analysis of all retrieved data was conducted by using the "bibliometrix" package in R (version 4.4.1), CiteSpace (version 6.4.R1), and VOSviewer (version 1.6.20).

Results

Analysis of 662 publications shows

SUBMITTER: Mao H 

PROVIDER: S-EPMC12835515 | biostudies-literature | 2026 Jan-Dec

REPOSITORIES: biostudies-literature