Papers

3

Total Citations

73

H-Index

2

About

Yike Guo is a pioneering researcher at the intersection of artificial intelligence, robotics, and surgical technology, with a particular focus on advancing cognitive intelligence in medical systems. His most impactful work centers on surgical instrument segmentation, where he developed the Video-Instrument Synergistic Network—a novel framework that enables referring video instrument segmentation in robotic surgery. This contribution, published in 2024 and already garnering 50 citations, addresses a critical gap in robot-assisted surgery by moving beyond simultaneous segmentation of all instruments to achieve more precise, context-aware identification. Beyond surgical AI, Guo engages with fundamental questions in machine consciousness, exploring why artificial intelligence still lacks conscious awareness—a philosophical and technical inquiry that has earned 21 citations since 2021. His work also examines the broader synergy between AI and robotics, contemplating how these technologies can evolve hand in hand. With research spanning from practical surgical applications to the theoretical underpinnings of machine intelligence, Guo’s contributions are shaping both the immediate future of robotic surgery and the long-term trajectory of artificial consciousness research.

Research Focus

Key Achievements

2
H-Index
3
Papers
73
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
50 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Hong Kong University of Science and Technology, Hong Kong Baptist University, Shanghai University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago