Artificial intelligence in joint arthroplasty: A bibliometric analysis of global research trends (2001–2025)

This bibliometric analysis highlighted the rapid growth and evolution of research priorities in AI applications for joint arthroplasty. With the increasing prevalence of advanced techniques, such as machine learning and deep learning, research in this area is expected to further revolutionize clinical practice. Future efforts should focus on optimizing AI-based solutions to address clinical challenges, improve patient outcomes, and foster international collaborations.