Yuqing Cao
Papers
2
Total Citations
41
H-Index
2
About
Yuqing Cao is a rising researcher at the intersection of artificial intelligence and surgical innovation, with a primary focus on real-time surgical phase recognition and computer-assisted intervention. Her most impactful work centers on bringing AI directly into the operating room through edge computing, enabling low-latency analysis of surgical video without relying on cloud infrastructure. In her highly cited 2023 study, Cao demonstrated how edge computing can power real-time phase recognition during surgery, a breakthrough that promises to enhance workflow analysis and intraoperative decision-making. She further advanced this field by establishing an AI-based confirmatory baseline for surgical phase recognition in inguinal hernia repair, leveraging a dataset of 209 robotic-assisted laparoscopic videos to explore and benchmark competitive deep learning models. With her two most-cited papers accumulating over 40 citations within a year of publication, Cao is quickly establishing herself as a key contributor to the growing field of surgical data science. Her work not only validates the feasibility of automated video-based quality assessment but also lays the groundwork for scalable, real-time AI tools that could transform surgical training and patient safety.
Research Focus
Key Achievements
Top Papers
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- 2