Handheld MSK Ultrasound Scanner Uses AI to Automatically Identify and Measure Tendons in Foot, Ankle and Knee

An artificial intelligence (AI) application for musculoskeletal (MSK) imaging that works with handheld point-of-care ultrasound devices automatically identifies, highlights, and measures tendon structures in the foot, ankle, and knee, thus accelerating ultrasound mastery for new users and hastening diagnosis and treatment of MSK injuries.

Clarius Mobile Health’s (Vancouver, BC, Canada) MSK AI model is designed to streamline workflows, inform clinical management, and provide training assistance during MSK scanning for specific anatomical sites, which include: the plantar fascia (foot), Achilles tendon (ankle), and patellar tendon (knee). The AI analyzes ultrasound imaging in real-time and displays a transparent color overlay to identify the tendon in view. Upon pausing the image, the AI labels the tendon and determines the greatest thickness, automatically placing measurement calipers that correspond to the top and bottom of the tendon at its thickest region. The user may alter the measurement calipers to make any necessary adjustments to support clinical decision-making. The Clarius MSK AI model is the first FDA-cleared AI ultrasound application for MSK imaging and is available with the Clarius L7 HD3 and Clarius L15 HD3 high-frequency wireless handheld ultrasound scanners.

“Ultrasound imaging has long been recognized by the medical community as the best way to see inside the body in real time but learning to detect and recognize anatomy comes with a learning curve,” explained Clarius President and CEO Ohad Arazi. “AI automation is the new frontier and we’re excited to be the world’s first to receive FDA clearance to use AI for musculoskeletal ultrasound. This application will blow the doors open for physiotherapists and orthopedic clinicians to use ultrasound to deliver faster patient care.”

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