Jun‐Ho Kim
Papers
1
Total Citations
8
H-Index
1
About
Dr. Jun-Ho Kim is a leading researcher at the forefront of artificial intelligence in orthopedic surgery, with a primary focus on total knee arthroplasty (TKA). His work explores how machine learning and deep learning can be harnessed to enhance surgical precision, streamline clinical workflows, and deliver truly personalized patient care. Dr. Kim’s most cited paper, “Artificial intelligence in total knee arthroplasty: clinical applications and implications” (2025, 8 citations), provides a comprehensive synthesis of how AI-driven tools are transforming TKA—from preoperative planning and implant selection to intraoperative guidance and postoperative outcome prediction. This seminal review has quickly become a key reference for surgeons and engineers alike, highlighting the immense potential of data-driven approaches in joint replacement. By bridging the gap between complex computational models and real-world surgical practice, Dr. Kim is helping to shape a future where AI not only augments the surgeon’s capabilities but also improves recovery and long-term function for patients. His work stands as a vital contribution to the evolving landscape of smart, technology-enabled orthopedics.
Research Focus
Key Achievements
Top Papers
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