Samsung Medison NerveTrack AI Improves Ultrasound Accuracy
The AI NerveTrack Model training procedure for Samsung Medison is streamlined and made simpler by Intel Geti Platform
NerveTrack, a cutting-edge ultrasonography feature from Samsung Medison, allows real-time nerve structure identification while anaesthesia is being administered
Samsung Medison collaborated with the Intel Geti platform to enhance the teams’ collaboration and annotation and modelling workflow
Samsung Medison, a worldwide medical equipment manufacturer, developed NerveTrack for ultrasound-guided regional anesthesia (UGRA) and pain management using their high-resolution ultrasound scanners
Samsung Medison then improved its AI inference model to recognize peripheral nerve structures in the neck, shoulder, and elbow to extend its application
Samsung Medison required hundreds of thousands of ultrasound pictures to be tagged as references in order to train each NerveTrack model because of the tiny size, complexity, and unpredictability of the nerve structures
Samsung Medison collected hundreds of thousands of ultrasound pictures of the wrist’s nerves for the initial NerveTrack version
Samsung Medison proceeded with the Intel Geti platform to gather tens of thousands of additional annotations in just two months after being pleased with the test findings