Laparoscopic surgery is a minimally invasive procedure that provides many benefits over open surgery. However, due to the lack of haptic feedback initiated by the use of laparoscopic instruments, one fatal complication that can occur is the tearing of major blood vessels if they cannot be properly identified. HaemoLuminate aims to identify the presence and diameter of a blood vessel within tissue grasped by a laparoscopic grasper and deliver this information back to the surgeon to minimize the occurrence of blood vessel injury.

Foot drop is a neuromuscular condition which limits an individual’s ability to lift the forefoot, increasing their risk for falling. SPINDL aims to increase efficacy of at-home physiotherapy for foot drop patients by improving exercise performance. Our solution includes a wearable device with wireless sEMG and IMU sensors, which communicate with a mobile application to provide patients with real-time feedback on muscle activation and ankle range of motion. SPINDL will provide patients and physiotherapists with valuable insights into their progress for treatment plan refinement.

Thousands of people in Canada die from opioid overdoses each year. Team 12 is creating a wearable device to help people struggling with drug use living in shelters. Shelter residents want the privacy of being able to use drugs alone but want to stay safe and get help if they need it. The wearable monitors a user's vitals and alerts shelter staff to come to help them if it detects an overdose. Responders help by administering naloxone, a life saving drug, and calling emergency services.

Chest x-rays are an accessible first test to detect signs of lung cancer despite ongoing challenges of observer error and missed diagnosis. Operating concurrently with physicians, CheXscan aims to provide a computerized “second opinion” by delineating the presence and location of lung cancers. Our system leverages unsupervised machine learning to quickly and robustly analyze x-rays while eliminating the need for large amounts of expensive, manually labelled data. Designed with physician workflows and cognitive ergonomics in mind, CheXscan facilitates more reliable lung cancer detection in x-rays.