Editorial: Advances in artificial intelligence and robotics in joint arthroplasty

Andrew P Kurmis ^1,2,3, Sébastien Lustig ⁴, Francesco Zambianchi ⁵

⁰College of Medicine & Public Health, Flinders University, Bedford Park, SA, 5042, Australia. andrew@kurmisorthopaedics.com.au.

Arthroplasty (london, England) +

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April 2, 2025

View abstract on PubMed

Summary

This special edition explores advances in artificial intelligence (AI) and robotics for joint arthroplasty. It highlights innovative applications and the need for further validation to improve patient outcomes and resource efficiency in joint replacement surgery.

Area Of Science

Orthopedic Surgery
Medical Technology
Robotics and Artificial Intelligence

Background

The special edition 'Advances in Artificial Intelligence and Robotics in Joint Arthroplasty' compiles global research on cutting-edge applications.
Robotics, artificial intelligence (AI), and technology-assisted interventions are increasingly integral to modern surgical practice.

Discussion

Twelve papers showcase novel applications of AI and robotics in joint arthroplasty.
Further validation and replication of results are essential for the generalizability of new technological applications.
International collaboration is evident, with potential for future global and regional research initiatives.

Key Insights

AI and robotics offer innovative solutions for joint replacement procedures.
Technology integration is crucial for enhancing the predictability and cost-effectiveness of arthroplasty care.
The special edition underscores the growing importance of technology in addressing global healthcare pressures in joint replacement services.

Outlook

Continued technological advancements are expected to drive innovation in arthroplasty care pathways.
The integration of AI and robotics promises to improve outcomes and resource utilization in joint replacement surgery.
Future research will likely focus on validating and implementing these technologies globally to meet increasing demands for joint replacement services.

Keywords:

Artificial intelligence CPAK Machine learning Robotics Technology-assisted surgery