Artificial intelligence empowering rare diseases: a bibliometric perspective over the last two decades.

ABSTRACT:

Objective

To conduct a comprehensive bibliometric analysis of the application of artificial intelligence (AI) in Rare diseases (RDs), with a focus on analyzing publication output, identifying leading contributors by country, assessing the extent of international collaboration, tracking the emergence of research hotspots, and detecting trends through keyword bursts.

Methods

In this bibliometric study, we identified and retrieved publications on AI applications in RDs spanning 2003 to 2023 from the Web of Science (WoS). We conducted a global research landscape analysis and utilized CiteSpace to perform keyword clustering and burst detection in this field.

Results

A total of 1501 publications were included in this study. The evolution of AI applications in RDs progressed

SUBMITTER: Ou P 

PROVIDER: S-EPMC11401438 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature