JS Chang

University College London Hospitals NHS Foundation Trust

Papers

Total Citations

H-Index

About

JS Chang is a leading orthopaedic researcher whose work sits at the intersection of artificial intelligence and surgical innovation, with a particular focus on lower limb arthroplasty. In their highly cited 2020 paper, "Artificial intelligence and surgical innovation: lower limb arthroplasty," Chang addresses one of the most pressing challenges in modern orthopaedics: the rising demand for hip and knee replacements among an increasingly active, aging population. This work, which has garnered 16 citations, critically examines how computer-assisted surgery and robotic technology can optimise surgical outcomes and improve patient quality of life. Chang’s major contribution lies in bridging the gap between cutting-edge AI tools and practical surgical applications, demonstrating how data-driven approaches can enhance precision in joint replacement procedures. By highlighting the potential of these technologies to meet the expectations of patients who wish to remain active well into later life, Chang has helped shape a forward-looking research agenda in arthroplasty. Their work is essential reading for surgeons, biomedical engineers, and students interested in the future of orthopaedic surgery and the role of intelligent systems in transforming patient care.