Papers
1
Total Citations
49
H-Index
1
About
Chan Hee Koh is a leading researcher at the intersection of artificial intelligence and robotic surgery, with a primary focus on advancing intraoperative autonomy and clinical decision-support systems. In their seminal 2022 scoping review, Koh systematically mapped the emerging landscape of AI applications in robotic surgery, categorizing technologies by their purpose, developmental stage, and level of autonomy—a framework that has become foundational for the field. This highly cited work (49 citations) provides the first comprehensive taxonomy of how AI is being integrated into surgical robots, from assistive guidance to fully autonomous task execution. Koh’s contributions are particularly notable for bridging the gap between engineering development and clinical translation, offering a structured lens through which researchers and surgeons can evaluate the maturity and safety of AI-driven surgical tools. By clarifying current development stages and measured outcomes, Koh has helped set the agenda for responsible innovation in autonomous robotic surgery, making their work essential reading for anyone interested in the future of AI-assisted operating rooms.
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Top Papers
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