Papers
39
Total Citations
3,063
H-Index
25
About
Babar Kayani is a pioneering orthopaedic surgeon and researcher whose work has fundamentally advanced the field of robotic-assisted knee arthroplasty. With a research focus centered on total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA), Kayani has made landmark contributions to understanding how robotic technology improves surgical precision, patient outcomes, and postoperative recovery. His most cited work — a 2018 prospective cohort study with over 400 citations — demonstrated that robotic-arm assisted TKA yields superior early functional recovery and shorter hospital stays compared to conventional jig-based techniques. Complementing this, his investigations into surgical learning curves revealed that while workflow integration requires approximately seven cases, implant positioning accuracy is unaffected from the outset — a clinically significant finding that has encouraged broader adoption of robotic systems. Kayani has also made notable contributions to alignment philosophy, comparing functional and mechanical alignment strategies using sensor-guided and robotic technologies. Across his top ten papers alone, his work has accumulated over 2,000 citations, establishing him as one of the most influential voices in contemporary reconstructive knee surgery and robotic orthopaedics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robotic technology in total knee arthroplasty: a systematic review299 citations · 2019
- 4
- 5
- 6
- 7
- 8Robotic total knee arthroplasty114 citations · 2019
- 9
- 10