Santino Gaggiotti
Papers
1
Total Citations
12
H-Index
1
About
Santino Gaggiotti is a rising orthopedic researcher whose work focuses on advancing robotic-assisted surgery for knee osteoarthritis, particularly in medial unicompartmental knee arthroplasty (UKA). His primary research areas include surgical precision, implant positioning, and the comparative effectiveness of image-based versus imageless robotic systems. Gaggiotti’s most notable contribution is a 2024 study analyzing 292 knees, which demonstrated that image-based robot-assisted systems achieve significantly higher accuracy in implant placement than imageless systems, offering critical insights for optimizing surgical outcomes. This work, already cited 12 times, highlights his impact in refining robotic technology to enhance patient-specific alignment and limb correction. Gaggiotti’s research bridges engineering and clinical practice, providing evidence that can guide surgeons in selecting the most precise tools for UKA. His findings underscore the importance of imaging in robotic workflows, positioning him as a key voice in the evolution of minimally invasive, data-driven orthopedic surgery. For students and researchers, Gaggiotti’s work exemplifies how comparative studies can directly improve surgical decision-making and patient care.
Research Focus
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Top Papers
- 1