Daina M. Brooks
Papers
4
Total Citations
28
H-Index
3
About
Daina M. Brooks is a leading researcher in the rapidly evolving field of robotic-assisted spinal surgery, with a focus on optoelectronic accuracy and surgical navigation. Her work systematically addresses a critical gap in the literature: the numerical disparity in navigational integrity between controlled laboratory settings and dynamic clinical operative environments. Her most-cited paper (2022, 13 citations) provides a foundational systematic review comparing optoelectronic accuracy, establishing the basis for understanding how camera source and data interpolation affect robotic platform performance. Brooks further expands this analysis by benchmarking spinal robotics against established systems like TJR Robotics and da Vinci (2021, 9 citations). She has also pioneered the integration of advanced technologies, including computer-simulated enhancement, patient-specific 3D-printed cages, and intraoperative E3D imaging with robotic navigation. Her 2024 study on the first 80 consecutive posterior spinal fusion cases using E3D imaging demonstrates her commitment to translating laboratory findings into improved clinical outcomes. Through her rigorous comparative analyses and clinical validations, Brooks is shaping the future of precision in spinal surgery, making her work essential reading for researchers and clinicians advancing robotic-assisted surgical techniques.
Research Focus
Key Achievements
Top Papers
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