Christopher S. Klifto
Papers
2
Total Citations
61
H-Index
2
About
Christopher S. Klifto is a leading orthopedic researcher whose work is reshaping the landscape of shoulder and elbow surgery through the integration of cutting-edge technology. His primary research areas focus on the advancement of total shoulder arthroplasty and the application of artificial intelligence in orthopedic practice. Klifto has made significant contributions by critically evaluating technological innovations in shoulder replacement, particularly exploring the role of robotics in enhancing surgical precision and patient outcomes. His 2023 paper on this subject, which has garnered 43 citations, serves as a foundational reference for surgeons and engineers developing next-generation prosthetic systems. Building on this, his 2024 review of artificial intelligence applications in shoulder and elbow surgery, with 18 citations, provides a forward-looking framework for how machine learning can improve diagnostic accuracy, surgical planning, and postoperative care. Klifto’s work not only documents current advancements but also charts a clear path for the future of the field, making him an essential voice for students and researchers interested in the intersection of orthopedics, robotics, and AI.
Research Focus
Key Achievements
Top Papers
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