Computer Vision News - June 2021

20 AI in Medical Imaging WHAT DOES THE FUTURE HOLD? As AI technology improves and becomes smarter and more autonomous, we expect more assimilation of this technology in Robotic-Assisted Surgeries (RAS) . In a similar manner to other fields (e.g. laparoscopic surgeries), RAS will grow to be more interactive, and depend on computer vision modules to provide better and safer procedures. The robots will autonomously perform operations , notify the staff of procedural progress, and alert when the procedure does not progress as expected. Below we describe several computer-vision features which can make this ideal RAS come to life. There are several areas where AI can improve and change RAS, these areas include the surgery planning, the procedure itself, and post-op surgical analysis. Prior to the surgery, it is essential that the surgeon is well trained on the procedure, as well as prepared for the specific upcoming patient. Acquiring the skills for proper RAS performance requires intensive training, which is a costly and time- consuming process. Designing a simulator for RAS can overcome the difficulties of training. This simulator will combine real simulations using virtual reality (VR) technology and haptic feedback to mimic RAS as accurately as possible. This simulator can also be used to prepare for specific procedures, using data from previous similar procedures done by that surgeon as well as data that is relevant to the patient specific anatomy. Using the capability to automatically analyze the workflow in RAS, we can easily procure multiple videos of relevant procedures , without the need to sift through the data. These can be used for training of surgeons, as well as training of machines to perform these tasks. During the procedure, the robot can take on tasks from the surgeon. Computer Vision in Robotic- Assisted Surgeries