AI
AI Research Group
(CAARSS)
The Collaborative for Advanced Assessment of Robotic Surgical Skills (CAARSS) is a group of research institutions dedicated to creating reliable, accurate, practical, and automated tools for assessing surgical skills using AI and other advanced technologies.
The nine members of the collaborative include:
01. Stanford University - Surgical Metrics Project
See Video Interview of Dr. Carla Pugh
02. Massachusetts General Hospital - Surgical AI and Innovation Laboratory
03. Johns Hopkins - Automated Expert-Like Feedback for Surgical Skills
04. University of Southern California - Robotic Surgery Data Analysis
See Video Interview of Dr. Andrew Hung
05. University of Buffalo - Optical Neuroimaging
See Video Interview of Dr. Steven Schwaitzberg
06. University of Rochester - Eye Tracking
See Video Interview of Dr. Ahmed Ghazi
07. Indiana University - Mental Imagery and Tissue-Based Metrics
See Video Interview with Dr. Dimitrios Stefanidis and Ramses Martinez
08. University College of London - Potential Utilization of AI in Surgery
See Video Interview with Dr. Justin Collins
09. University of Texas Southwestern - AI in Simulation
Each of the 8 research groups completes robotic surgical tasks using the FRS Dome, allowing for direct comparisons and data analysis from each group’s multi-modal sensors. This research will help determine how to improve surgical skills and outcomes by combining two or more of these AI technologies.