Papers
32
Total Citations
827
H-Index
15
About
Runzhuo Ma is a pioneering researcher at the intersection of artificial intelligence, robotic surgery, and surgical performance assessment, whose work is reshaping how we understand and optimize operative care. With a body of research accumulating over 658 citations, Ma has made foundational contributions to the objective quantification of surgical skill and its relationship to patient outcomes. His landmark 2024 narrative review on AI in robotic surgery (232 citations) has become an essential reference for clinicians and engineers alike, while his 2023 vision transformer study (135 citations) demonstrated that machine learning can decode nuanced intraoperative surgeon activity directly from surgical video. A defining thread throughout Ma's work is the development and validation of automated performance metrics — objective, data-driven tools that move beyond subjective evaluation to predict real patient outcomes such as urinary continence recovery after robot-assisted radical prostatectomy. His research on surgical gestures further decomposed complex procedures into measurable, reproducible units of analysis. Ma has also advanced surgical education, showing that AI-based feedback accelerates skill acquisition in novice robotic surgeons. Spanning urology, computer vision, and machine learning, his contributions are helping build a future where surgical quality is continuously, rigorously, and transparently measured.
Research Focus
Key Achievements
Top Papers
- 1Clinical applications of artificial intelligence in robotic surgery232 citations · 2024
- 2A vision transformer for decoding surgeon activity from surgical videos135 citations · 2023
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- 4Machine learning in the optimization of robotics in the operative field51 citations · 2020
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