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Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
Published on: August 9, 2024
Weiya Sun1, Guanyu Yang1,2, Yang Chen1,2
1Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China.
This study introduces an automated method to determine the optimal X-ray angiography viewing angle for thoracic endovascular aortic repair (TEVAR). The technique ensures accurate stent placement, potentially reducing complications and improving procedural efficiency.
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