Papers
1
Total Citations
19
H-Index
1
About
Ning Kong is an emerging researcher in the field of orthopedic surgery, with a particular focus on robotic-assisted surgical techniques and outcomes optimization in total knee arthroplasty (TKA). Kong's most recognized contribution to date centers on advancing predictive modeling for postoperative recovery, specifically through the development of a nomogram-based prediction model designed to forecast early functional outcomes in patients undergoing robotic-assisted total knee arthroplasty (RA-TKA). This work addresses a critical gap in orthopedic research: while RA-TKA has gained significant traction as a treatment for advanced knee disease due to its precision in minimizing operator-induced errors, reliable tools for anticipating individual patient recovery trajectories have remained elusive. By constructing a clinically applicable nomogram, Kong's research empowers surgeons and care teams to make more informed, personalized postoperative decisions. Published in 2023, this work has already garnered 19 citations, reflecting meaningful early engagement from the surgical and rehabilitation communities. Kong's research sits at the important intersection of surgical technology, outcomes research, and precision medicine, positioning them as a promising contributor to the evolving landscape of computer-assisted and robotic orthopedic surgery.
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