Back to search

Article

Artificial Intelligence in Immune Checkpoint Inhibitor Research: A Bibliometric Analysis of the Landscape

2026-03-09

Abstract excerpt

<title>Abstract</title> <p>This bibliometric analysis examines the transformative role of artificial intelligence (AI) in immune checkpoint inhibitor (ICI) research. Analyzing 597 publications from the Web of Science Core Collection (2016–2025), we reveal a dramatic rise in AI-related ICI studies, led by the USA and China. Key findings demonstrate AI's integration in predicting treatment response, optimizing dosi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d84d20cc-d98c-5de2-b679-376d74138269
DOI
10.21203/rs.3.rs-8873872/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial Intelligence in Immune Checkpoint Inhibitor Research: A Bibliometric Analysis of the LandscapeDOI 10.21203/rs.3.rs-8873872/v1
Select a neighboring publication to make it the new centre.