Papers

5

Total Citations

105

H-Index

5

About

Michael A. Gaudiani is a leading orthopaedic researcher whose work centers on the precision and long-term outcomes of robotic-arm-assisted knee arthroplasty. His primary research areas include unicompartmental (UKA) and bicompartmental knee arthroplasty (BiKA), with a specific focus on optimizing component placement and improving patient function. Gaudiani’s major contributions demonstrate that robotic assistance significantly enhances the accuracy of sagittal and coronal plane alignment compared to manual techniques, as shown in his 2017 study (39 citations). His 2020 systematic review and meta-analysis (32 citations) critically advanced the field by revealing that while radiographic positioning improves with robotic assistance, early functional outcomes require further investigation. Notably, Gaudiani has provided some of the first mid-term evidence for robotic-arm-assisted lateral UKA, reporting durable five-year survivorship and clinical success (11 citations). His work on bicompartmental arthroplasty (15 citations) further establishes robotic technology as a viable option for complex, multi-compartment disease. With a growing body of high-impact publications, Gaudiani is shaping the future of joint preservation surgery, offering surgeons and patients data-driven confidence in robotic-assisted techniques.

Research Focus

Key Achievements

5
H-Index
5
Papers
105
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Optimization of sagittal and coronal planes with robotic-assisted unicompartmental knee arthroplasty
39 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Hospital for Special Surgery, Cleveland Clinic, Henry Ford Health System, Henry Ford Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago