Papers

4

Total Citations

14

H-Index

2

About

Catherine Di Gangi is an emerging leader in the field of orthopedic surgery, specializing in the application of advanced technology to total hip and knee arthroplasty. Her research focuses on the intersection of robotic assistance, fluoroscopic guidance, and artificial intelligence to improve surgical precision and patient outcomes. Di Gangi’s major contributions include demonstrating that robotic-assisted total hip arthroplasty (THA) results in significantly fewer dislocations and superior 90-day clinical and patient-reported outcomes compared to traditional methods, with her 2024 study on this topic already garnering 8 citations. She has also pioneered the use of AI to predict coronal alignment in robotic-assisted total knee arthroplasty (TKA) and has critically evaluated the relationship between coronal alignment and femoral rotation axes, challenging conventional surgical assumptions. Her work, published in 2024 and 2025, is rapidly gaining attention for its practical implications in reducing complications and enhancing recovery. Di Gangi’s research is shaping the future of joint replacement by providing evidence-based guidance for integrating cutting-edge technology into routine practice.

Research Focus

Key Achievements

2
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Fewer Dislocations After Total Hip Arthroplasty With Robotic Assistance or Fluoroscopic Guidance
8 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: NYU Langone Health, New York University Langone Orthopedic Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago