Nasal Septoplasty
This project involves three core research directions. First, develop novel techniques to capture instrument motion data in nasal septoplasty. Second, to develop and validate algorithms based on machine learning and deep learning techniques to automate assessment of surgical technical skill and competency... Read more
Cataract Surgery
This project aims to develop technology to enable a system that can function as an automated co-pilot for surgeons using cataract surgery as a testbed procedure... Read more
Robot-assisted Laparoscopic Hysterectomy
This project aims to develop methods that can automatically 1) segment the surgical procedure into constituent steps (phases), and 2) assess the surgical skill within each step... Read More
ADVICE framework for simulation-based training
This project encompasses various surgical data science questions like skill assessment, generating feedback, and monitoring learning... Read More
Automated Feedback for Robot-assisted Needle Passing
This project aims to develop a framework that can replicate expert-like feedback for coaching surgeons learning robot-assisted needle passing skill... Read More