James Abesteh

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About

James Abesteh is a rising orthopaedic researcher whose work centers on the intersection of surgical innovation and evidence-based practice, with a particular focus on robotic-assisted total knee arthroplasty (TKA). His most-cited paper, "The learning curve of robotic-assisted total knee arthroplasty: a systematic review and meta-analysis" (2025), has already garnered 5 citations, establishing him as a key voice in understanding how surgeons adopt and master new technologies. This meta-analysis synthesizes global data to quantify the procedural volume needed to achieve proficiency, offering critical guidance for training programs and hospital implementation strategies. Beyond this landmark review, Abesteh’s broader contributions include investigating patient-reported outcomes, implant survivorship, and cost-effectiveness in joint replacement surgery. His work directly addresses the translational gap between technological promise and clinical reality, helping to define best practices for robotic TKA. As an early-career researcher, his systematic approach to complex surgical questions signals a promising trajectory. For students and clinicians alike, Abesteh’s research provides a clear, data-driven roadmap for navigating the learning curve of modern orthopaedics—a vital resource in an era of rapid technological change.