Papers
12
Total Citations
245
H-Index
7
About
Kevin Marchand is a leading orthopaedic researcher whose work centers on robotic-assisted total knee arthroplasty (TKA), surgical precision, and patient-specific alignment strategies. His major contributions include defining the learning curve for high-volume surgeons adopting robotic TKA, demonstrating that operative times stabilize after approximately 30 cases, and showing that robotic assistance yields superior alignment and comparable early patient-reported outcomes to manual techniques. His multicenter registry study, with 861 patients, provides robust evidence supporting the safety and efficacy of robotic TKA at two-year follow-up. Marchand has also advanced the field by investigating CT-based three-dimensional implant planning for preoperative accuracy and by exploring the conversion of unicompartmental to total knee arthroplasty using robotic arms. His work on extra-articular deformity highlights how robotics can solve complex alignment challenges. With over 240 total citations, his most cited papers—including the 2020 learning curve study (74 citations) and the 2021 comparative outcomes paper (59 citations)—have shaped contemporary practice. Marchand’s recent work challenges traditional neutral mechanical alignment, advocating for individualized, patient-specific targets, marking him as a forward-thinking voice in arthroplasty.
Research Focus
Key Achievements
Top Papers
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- 4Computer-Assisted Navigation in Total Knee Arthroplasty.19 citations · 2020
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