Craig Shul
Papers
2
Total Citations
11
H-Index
2
About
Craig Shul is a rising orthopaedic researcher whose work centers on the application of advanced three-dimensional imaging and robotic-assisted technologies in joint arthroplasty. His primary research areas include total knee and hip replacement, with a specific focus on preoperative planning, implant alignment, and the prevention of mechanical complications. Shul’s most cited contribution is a 2024 study that introduces a novel, three-dimensional-based classification system for native limb alignment phenotypes, designed to guide surgeons in correcting deformities during total knee arthroplasty. This work, which has already garnered 8 citations, promises to refine surgical decision-making by moving beyond traditional two-dimensional assessments. Additionally, his 2023 paper on Mako® robotic-arm assisted total hip arthroplasty addresses the critical challenge of avoiding implant impingement through updated software and CT-based templating. By demonstrating how precise planning can optimize patient outcomes, Shul is helping to define best practices for modern, technology-driven joint replacement. His research is particularly valuable for students and surgeons seeking to understand how digital tools can enhance surgical precision and reduce complications in an era of rapidly evolving orthopaedic technology.
Research Focus
Key Achievements
Top Papers
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- 2