Sandeep Katragadda
Papers
1
Total Citations
1
H-Index
1
About
Sandeep Katragadda is a researcher at the intersection of artificial intelligence and orthopedic surgery, with a primary focus on developing machine learning solutions for computer-assisted joint arthroplasty. His work centers on automating critical steps in surgical planning, particularly the prediction of implant sizes from medical imaging. In his notable 2024 study on "Machine Learning-Based Automatic Implant Size Prediction From CT Images in Total Knee Arthroplasty," Katragadda introduced an automatic templating method that eliminates the need for manual intervention in determining suitable implant dimensions from CT scans. This contribution is significant for accelerating computer and robot-assisted surgical plan generation, reducing human error, and improving preoperative efficiency. While his work is still gaining traction in the academic community, with his most-cited paper currently holding 1 citation, its practical implications for streamlining total knee arthroplasty workflows are clear. Katragadda’s research addresses a real-world clinical bottleneck, positioning him as an emerging voice in the application of deep learning to orthopedic biomechanics and surgical automation.
Research Focus
Key Achievements
Top Papers
- 1