Papers
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Total Citations
70
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About
Yudi Sang is a leading researcher at the intersection of robotics, artificial intelligence, and biomedical engineering, with a primary focus on advancing surgical robot systems (SRS). Their most cited work, "Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review" (2024, 70 citations), provides a comprehensive analysis of how AI can overcome critical bottlenecks in SRS—namely, the systems' limited capacity to process complex intraoperative data and make autonomous surgical decisions. Sang’s contributions are pivotal in defining the next generation of smart surgical assistants, where machine learning algorithms enhance precision, adaptability, and decision-making in the operating room. By systematically reviewing the integration of AI into robotic platforms, Sang has helped chart a roadmap for future innovations that could reduce human error and improve patient outcomes. Their work is widely cited by engineers and clinicians alike, reflecting its impact on both technical development and practical surgical applications. Sang’s research stands at the forefront of a transformative shift toward semi-autonomous and collaborative robotic surgery, making them a key voice in the evolution of intelligent medical technologies.
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