ScanNav Anatomy Peripheral Nerve Block is a software tool that assists clinicians, particularly anesthesiologists, during ultrasound-guided regional anesthesia procedures. It uses deep learning AI to highlight and label important anatomical structures in real-time on ultrasound images, helping users identify nerves and surrounding tissues accurately before needle insertion. This improves procedural confidence and safety for adult patients undergoing nerve block anesthesia.
ScanNav Anatomy Peripheral Nerve Block is indicated to assist qualified healthcare professionals to identify and label anatomical structures in live ultrasound images in preparation for ultrasound guided regional anesthesia prior to needle insertion for patients 18 years of age or older, across multiple peripheral nerve block sites.
The device uses deep learning convolutional neural networks (CNNs) to generate color overlays highlighting arteries, nerves, muscles, bones, and fascial planes on live ultrasound images. It operates as software on a mobile panel PC connected to a general-purpose diagnostic ultrasound machine, displaying an overlaid image on a separate touchscreen monitor without altering the original ultrasound view.
Performance testing included a prospective clinical study with 40 volunteers and 30 anesthesiologists demonstrating high accuracy in anatomical structure identification with low misidentification rates. Human factors testing showed safe and effective use without UI issues. The device met primary and secondary clinical endpoints by assisting users to obtain correct ultrasound views and identify relevant anatomy safely. Software verification and electromagnetic compatibility testing were also conducted.
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