Rajitha Gunaratne
Papers
4
Total Citations
53
H-Index
3
About
Dr. Rajitha Gunaratne is a pioneering orthopedic researcher at the forefront of integrating robotics and machine learning into joint replacement surgery. Her work centers on two transformative areas: robotic-arm assisted total hip arthroplasty (THA) and optical tissue identification for autonomous surgical systems. In her landmark 2018 study (27 citations), she systematically compared conventional versus robotic THA, establishing critical benchmarks for surgical time, transfusion rates, complications, and the learning curve—providing foundational evidence for robotic adoption. Dr. Gunaratne has also made seminal contributions to intraoperative tissue differentiation, demonstrating that diffuse reflectance spectroscopy combined with machine learning can accurately classify human joint tissues (2019, 18 citations). Her 2022 work further advanced the field by investigating whether robotic THA is more bone-preserving than conventional approaches and hip resurfacing—a crucial question for younger, more active patients. Most notably, she is developing a novel tissue identification technology that employs both diffuse reflectance and auto-fluorescence spectroscopy, enabling real-time tissue recognition during robotic surgery. With cumulative citations exceeding 50, Dr. Gunaratne’s research is shaping the next generation of smarter, safer, and more precise orthopedic procedures.
Research Focus
Key Achievements
Top Papers
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