Papers
5
Total Citations
38
H-Index
4
About
He Bai is a pioneering researcher at the intersection of surgical robotics, artificial intelligence, and spine and orthopedic surgery. His work centers on developing intelligent sensing and feedback systems to enhance the precision and safety of minimally invasive surgical procedures, particularly in cervical spine decompression and hip fracture fixation. Bai has made significant contributions by demonstrating that real-time signal analysis — including sound, vibration, and bioelectrical impedance — can reliably identify critical surgical states such as tissue transitions during bone milling and drilling. His landmark 2021 study applying Fast Fourier Transform analysis to sound signals during cervical laminectomy (10 citations) opened new possibilities for intraoperative feedback, while subsequent work employing machine learning algorithms like k-nearest neighbors (9 citations) further advanced automated milling state recognition. His 2022 investigation of vibration-based drilling state recognition in hip fracture fixation (8 citations) extended these principles to orthopedic surgery. Additional contributions include using bioelectrical impedance for tissue discrimination and neural network modeling of milling temperatures. Collectively, Bai's research lays vital groundwork for safer, smarter robot-assisted surgical systems.
Research Focus
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