The goal of this multi-disciplinary project is to develop an Artificial Intelligence (AI)-enabled coaching system (AI Coach) for monitoring, assessing, and enhancing surgical teamwork in the cardiac operating room (OR).
The goal of this project is to develop and evaluate a Robot-Assisted Perfusion System (RAPS) that learns from expert perfusionists in the cardiac operating room and can be integrated into the surgical workflow as a non-human teammate.
The goal of this project is to develop novel approaches to using process and patient real-time data, and device status information dynamically and proactively to provide guidance forward from the current surgical state.
This project aims to develop a semi-autonomous epicardial crawling robot (Heartlander) to enable image-guided minimally invasive treatment of heart failure.
This project focuses on the development and evaluation of an innovative approach for performing minimally invasive cardiac surgery (MICS) based on a highly articulated robotic probe (HARP).
