Randa Elsheikh
Papers
2
Total Citations
5
H-Index
2
About
Randa Elsheikh is a rising orthopedic researcher whose work focuses on advancing unicompartmental knee arthroplasty (UKA) through robotic-assisted surgical techniques. Her research centers on improving surgical precision, restoring native joint biomechanics, and reducing radiographic outliers in knee replacement procedures. In her 2025 study, she demonstrated that robotic-assisted UKA significantly improves joint line height restoration and reduces alignment outliers compared to conventional methods, contributing to better functional outcomes and potentially lower revision rates. Her systematic review comparing image-based versus imageless robotic systems further clarified that while image-based systems yield fewer radiologic outliers, revision rates remain comparable between the two technologies. Although her most-cited papers currently have 3 and 2 citations respectively, her work is gaining traction in the orthopedic community for its practical implications in surgical decision-making. Elsheikh’s research is particularly valuable for surgeons and trainees seeking evidence-based guidance on adopting robotic platforms in knee arthroplasty, and her findings are actively shaping discussions on precision medicine in joint reconstruction.
Research Focus
Key Achievements
Top Papers
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- 2