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About
Haoyuan Li is a pioneering researcher at the intersection of biomedical optics and robotic surgery, with a primary focus on developing automated systems for minimally invasive neurosurgical procedures. His most significant contribution is the design and validation of an optical coherence tomography (OCT)-guided automatic robotic craniotomy platform, which addresses a critical bottleneck in optical brain imaging. By integrating real-time OCT feedback with robotic precision, Li’s system eliminates the need for highly skilled surgeons to manually create transparent cranial windows—a task that is traditionally time-consuming, variable, and prone to failure. This innovation dramatically improves success rates and reproducibility in preclinical brain imaging studies. His landmark 2025 paper on this platform has already garnered 3 citations, signaling early impact in the field. Li’s work bridges engineering and clinical neuroscience, offering a scalable solution that could accelerate research into neurological disorders and eventually translate to safer, more accessible neurosurgical tools. His achievements highlight a commitment to automating complex surgical steps, reducing human error, and democratizing advanced imaging techniques for laboratories worldwide.
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Top Papers
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