Papers
17
Total Citations
721
H-Index
14
About
Jobe Shatrov is an orthopaedic surgeon and researcher whose work sits at the forefront of technological innovation in total knee arthroplasty (TKA). His research focuses on three interrelated domains: robotic-assisted and computer-navigated surgery, novel alignment philosophies — particularly functional alignment (FA) — and the integration of artificial intelligence into knee arthroplasty practice. Shatrov has made landmark contributions to the development and dissemination of functional alignment philosophy, authoring influential technique guides for both varus and valgus morphotypes using image-based robotic platforms, which together have accumulated over 200 citations. His comparative studies have challenged existing approaches, notably demonstrating that kinematic alignment fails to achieve balanced flexion-extension gaps in approximately half of varus knees, while his clinical outcomes data show that functionally aligned TKA achieves superior Forgotten Joint Scores compared to conventional techniques. With a widely cited 2020 review of computer and robotic-assisted TKA outcomes (85 citations) and a 2022 analysis of artificial intelligence applications in knee arthroplasty (76 citations), Shatrov has established himself as a leading synthesiser of emerging surgical technologies. Across his ten most-cited publications alone, his work has garnered over 600 citations, reflecting substantial influence on how surgeons worldwide approach planning and executing knee replacement surgery.
Research Focus
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