Santosh Shetty

Columbia Asia

Papers

3

Total Citations

34

H-Index

3

About

Dr. Santosh Shetty is a leading orthopedic researcher whose work centers on the precision and efficacy of robotic-assisted total knee arthroplasty (TKA). His primary contributions lie in demonstrating how advanced imaging and automation can transform surgical outcomes. In his most cited work, Shetty established that pre-operative 3D CT templating significantly improves the accuracy of implant sizing and alignment in robot-assisted TKA, a finding that has garnered 16 citations and is shaping preoperative planning protocols. He has also systematically compared operative times between conventional and active robotic systems, revealing that while robotic assistance enhances precision, it does not necessarily prolong surgery—a critical insight for surgical workflow adoption. Further, his evaluation of fully automated active robotic systems has confirmed their safety and efficacy, addressing key concerns about automation in joint replacement. Collectively, Shetty’s research—with over 30 citations across his top papers—provides robust evidence that robotic technologies can reliably enhance reproducibility and reduce errors in TKA. His work is essential reading for surgeons and engineers seeking to integrate data-driven, patient-specific planning into arthroplasty, and it positions him as a key voice in the ongoing shift toward precision orthopedics.

Research Focus

Key Achievements

3
H-Index
3
Papers
34
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Efficacy of the Pre-operative Three-Dimensional (3D) CT Scan Templating in Predicting Accurate Implant Size and Alignment in Robot Assisted Total Knee Arthroplasty
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Columbia Asia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago