Farheen Shehzad Khan
Papers
2
Total Citations
27
H-Index
2
About
Farheen Shehzad Khan is a rising authority in orthopaedic surgery, with a focused expertise in robotic-assisted total knee arthroplasty (TKA) and advanced preoperative imaging. Her research centers on optimizing surgical precision and workflow efficiency in joint replacement. Khan’s most impactful work, “Efficacy of the Pre-operative Three-Dimensional (3D) CT Scan Templating in Predicting Accurate Implant Size and Alignment in Robot Assisted Total Knee Arthroplasty” (2022, 16 citations), established a critical framework for using 3D templating to reduce intraoperative guesswork, directly improving implant fit and limb alignment. She further advanced the field by analyzing human factors in “Analysis of robot-specific operative time and surgical team anxiety level and its effect on alignment during robot-assisted TKA” (2024, 11 citations), a novel study linking team dynamics to surgical outcomes. Her contributions bridge the gap between technology and clinical practice, demonstrating how preoperative planning and team preparedness can enhance robotic surgery’s reliability. With a growing citation record, Khan’s work is shaping evidence-based protocols for next-generation joint replacement, making her a key voice in the integration of robotics and patient-specific planning in orthopaedics.
Research Focus
Key Achievements
Top Papers
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- 2