Deepa Galaiya
Papers
8
Total Citations
109
H-Index
6
About
Deepa Galaiya is a pioneering researcher at the intersection of otolaryngology, neurotology, and robotic surgery. Her work focuses on developing automated, AI-driven segmentation of temporal bone anatomy from CT imaging, with over 36 citations for her foundational 2021 paper on registration-based segmentation. She has advanced deep learning networks for self-configuring anatomical segmentation, significantly reducing the manual burden of preoperative planning. Galaiya's contributions extend to force-sensing surgical drills and haptic-assisted collaborative robots for skull base surgery, enhancing situational awareness and safety through real-time force feedback and tremor assessment in microlaryngeal surgery. Her 2024 paper on autonomous robotic systems in otolaryngology-head and neck surgery outlines a transformative vision for the field. With a growing portfolio of high-impact publications, Galaiya is shaping the future of minimally invasive, robot-assisted procedures, making complex surgeries safer and more efficient. Her work is essential reading for anyone interested in the convergence of AI, robotics, and surgical innovation.
Research Focus
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Top Papers
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- 8Autonomous Robotic Systems in Otolaryngology-Head and Neck Surgery3 citations · 2024