# The global academic distribution and changes in research hotspots of artificial intelligence in inflammatory bowel disease since 2000

## TL;DR

This paper analyzes global research trends in artificial intelligence applications for inflammatory bowel disease from 2000 to 2024.

## Contribution

The study provides the first bibliometric analysis of AI research in inflammatory bowel disease, identifying recent hotspots like radiomics and personalized medicine.

## Key findings

- The number of AI-related IBD publications has rapidly increased, with the USA leading in output.
- Research hotspots after 2020 include radiomics, endoscopy, natural language processing, and personalized medicine.
- Core journals in the field include Scientific Reports, Inflammatory Bowel Diseases, and PLoS One.

## Abstract

Artificial intelligence (AI) has gained widespread attention because of its potential applications in the clinical management of inflammatory bowel disease (IBD). However, bibliometric analyses of the literature published in this field are currently lacking. This study aimed to characterize the development trends and identify research hotspots in the application of AI to IBD through a bibliometric approach.

Literature related to the application of AI in IBD, published between 2000 and 2024, was retrieved from the Web of Science Core Collection. Microsoft Office Excel 2021 was used to analyze and visualize the annual number of publications. Charticulator was utilized to create country cross chord charts. CiteSpace was employed to visualize collaboration networks among authors, institutions, and countries, generate timeline visualizations and perform a burst analysis of references and keywords.

The bibliometric analysis included 1,136 publications published between the years 2000 and 2024. The number of annual publications showed a rapid growth trend. The USA (n = 337) and Harvard University (n = 47) had the most published papers. Stidham, Ryan (n = 21) published the highest number of articles. The core journals shaping the field included Scientific Reports, Inflammatory Bowel Diseases, and PLoS One. The timeline view and burst analysis of references and keywords revealed that the research hotspots focused on radiomics, endoscopy, natural language processing (NLP), and personalized medicine after 2020.

A growing number of researchers have engaged in exploring the application of AI in IBD, with the USA contributing the most to this field. Currently, the research hotspots mainly involve radiomics, endoscopy, NLP, and personalized medicine. This study provides valuable information for researchers evaluating the application of AI in IBD.