Max Robotics — Global Service Robot Directory + US Certification

About

Yixin Gao is a leading researcher in the field of surgical data science, with a primary focus on robotic surgery. Her work centers on developing automated methods for analyzing surgical tool motion to assess surgeon skill and recognize surgical gestures. Gao's major contributions include pioneering the use of string motif-based descriptions of tool motion to detect skill levels and gestures, a novel approach that captures the sequential patterns of surgical movements. She also made a significant impact by leading the creation of a comprehensive dataset and benchmarks for the segmentation and recognition of gestures in robotic surgery, which has become a foundational resource for the field, accumulating 288 citations. This work provides a standardized platform for comparing and advancing state-of-the-art techniques. Additionally, Gao has explored unsupervised methods for aligning surgical data to enable automatic activity annotation, and has worked on validating robotic surgery training assessments across different training platforms. Her research is instrumental in advancing objective, data-driven methods for surgical education and assessment, directly improving the quality of robotic surgery training.