Angelo V. Vasiliadis
Papers
2
Total Citations
5
H-Index
2
About
Angelo V. Vasiliadis is a leading orthopaedic researcher whose work focuses on advancing total knee arthroplasty (TKA) through robotic-assisted technology and personalised alignment strategies. His primary research areas include functional alignment (FA) in robotic TKA, implant positioning, and clinical outcomes optimisation. Vasiliadis has made significant contributions by systematically evaluating the emerging FA technique, which uses robotics to balance coronal, sagittal, and axial planes while preserving soft-tissue tension and joint-line orientation. His 2025 systematic review and meta-analysis (3 citations) demonstrated that FA provides favourable early outcomes with minimal revision rates, offering critical evidence for surgeons adopting this patient-specific approach. A subsequent 2026 systematic review (2 citations) further clarified radiological outcomes and implant positioning in robotic-assisted FA TKA, establishing benchmarks for surgical precision. Though early in his publication trajectory, Vasiliadis’s work is already shaping the evidence base for personalised knee arthroplasty, addressing the critical gap between promising early results and long-term safety data. His research is essential reading for orthopaedic surgeons and researchers seeking to understand the transition from conventional alignment philosophies to functional, robotic-enabled techniques that prioritise individual patient anatomy and soft-tissue balance.
Research Focus
Key Achievements
Top Papers
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- 2