Artificial Intelligence Extraventricular Device Placement Training Platform
Extraventricular device (EVD) placements are common bedside surgical procedures done to release increased intracranial pressure (ICP) following an acute insult such as a hemorrhage. Oftentimes EVD placements are one of the first procedures learned during neurosurgical training. In order to provide extra-operative EVD placement training we plan to utilize a heads-up device interfacing with an AI model trained on 1st person video footage to provide real-time surgical feedback during phantom model surgical training.
Tumor Resection Phantom Model
Intracranial tumor resections often require extensive training for neurosurgical residents. Compounding the complexity is the unique patient-specific tumor milieu that interweaves into healthy surrounding tissue. We are investigating novel approaches to approach training for tumor resections utilizing 3D-printed phantom models, biological assays, and simultaneous intraoperative imaging visualization.
Remote Training Model
Operative training requires extensive time outside of the operating room to familiarize oneself to a procedure. A novel augmented reality (AR) enabled heads-up display (AR HUD) can enhance simulated surgical training, pre-operative planning, and improved industry medical device adoption. The AR HUD enables the overlay of visual media (intraoperative X-ray images or ultrasound feed) in the wearer’s field of view (FOV), the capture of live video feed of the wearer’s FOV, communication with remote viewers, and remote annotation in the wearer’s FOV. One of our projects uses the AR HUD to compare the efficacy of remote surgical training of sacroiliac joint fusion to that of traditional in-person training of the surgery. Another of our projects explores whether the ability to overlay the live video feed of intraoperative ultrasound (US) in a surgeon’s FOV increases the efficacy and efficiency of US-guided transfemoral artery access.
