Musa Zaid
Papers
2
Total Citations
8
H-Index
2
About
Musa Zaid is an emerging orthopedic researcher whose work focuses on optimizing outcomes in total knee arthroplasty (TKA), particularly through the lens of robotic-assisted surgical techniques. His research addresses two critical, patient-centered concerns: prosthetic noise generation and the precision of femoral component rotation. In his 2023 study, Zaid demonstrated that robotic-assisted TKA produces rates of prosthetic noise—such as clicking or grinding—comparable to conventional TKA, challenging assumptions that robotic methods might reduce this bothersome phenomenon. His 2025 investigation further advances the field by comparing automated versus manual femoral component rotation planning, revealing that robotic assistance can achieve reliable alignment while potentially reducing surgeon-dependent variability. Though early in his career, with his most-cited work accumulating six citations, Zaid’s contributions are notable for tackling underexplored quality-of-life metrics in joint replacement. His findings have direct implications for improving patient satisfaction and surgical reproducibility, positioning him as a thoughtful voice in the ongoing debate over the value of robotic technology in orthopedics.
Research Focus
Key Achievements
Top Papers
- 1
- 2