Artificial intelligence in shoulder and elbow surgery: a bibliometric analysis of affiliation-based collaboration patterns.

ABSTRACT:

Background

Despite growing interest, artificial intelligence (AI) applications in shoulder and elbow surgery remain underdeveloped. While adoption is accelerating and shows promise in addressing complex clinical problems, substantial technical and clinical barriers persist. Collaborative research may be relevant for generating high-quality datasets and more robust, generalizable, and clinically relevant algorithms. This study aimed to 1) analyze trends in AI research productivity and impact, 2) map collaboration patterns among affiliations and regions, and 3) assess the relationship between affiliation-based collaboration and research outcomes.

Methods

We conducted a bibliometric analysis of Scopus-indexed articles published between January 2000 and November 2024, focusing o

SUBMITTER: Velasquez Garcia AR 

PROVIDER: S-EPMC12681790 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature