Ultrasound-guided regional anesthesia (UGRA) is becoming standard practice for needle-based interventions, including vascular access and peripheral nerve block. However, even with UGRA, it can be difficult for anesthesiologists to correctly identify nerves, which can be as small as 2 millimeters in diameter, or to see the needle tip properly. NerveTrack can automatically identify nerves in real time for anesthesiologists — reducing the possibility of complications while improving workflows.
NerveTrack has been developed based on Intel’s OpenVINO toolkit. It uses inference to detect and identify the location of a nerve area in real time during an ultrasound scan, improving the treatment workflow for anesthesiologists. To train Samsung’s proprietary real-time algorithm that automatically detects nerves in ultrasound images, a significant amount of clinical ultrasound data was required.
“NerveTrack can help physicians automate mundane and time-consuming tasks and free them to spend more time with their patients,” said Alex Flores, medical imaging director, Health and Life Sciences at Intel. “We are working closely with Samsung Medison to help improve patient experiences and reduce physician workloads.”