This project brings together two research teams specializing in deep learning, computer vision and human–machine interaction, in close collaboration with a group of hand surgeons and medical specialists focusing on carpal tunnel syndrome.

Together, we design and validate methods to enhance ultrasound images in real time during sonography-guided surgeries. Specifically, we highlight the cutting instrument and anatomical structures at risk of iatrogenic lesion, i.e., terminal nerve branches via advanced computer vision and deep learning.