Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
With the launch of the T-Mode™ Anterior Knee feature on its handheld musculoskeletal ultrasound scanners, Clarius Mobile Health seeks to illuminate the subtleties of anterior knee examination for novice ultrasound users.
Clarius said the T-Mode Anterior Knee offers a number of benefits to facilitate ultrasound examination of the anterior knee:
• automated segmentation, measurements, and labeling of knee structures with the MSK AI feature;
• conversion of grayscale images into labeled, color-coded visuals to enhance anatomical understanding; and
• image quality comparable to traditional cart-based systems.
Offering AI-powered segmentation and facilitating enhanced anatomical understanding with conversion of grayscale images into color-coded visuals with labeling, the newly launched T-Mode Anterior Knee feature is now available on musculoskeletal ultrasound scanners from Clarius Mobile Health. (Image courtesy of Clarius Mobile Health.)
“Ultrasound is frequently the first-line imaging modality for assessing knee pain, but learning to read and interpret the grayscale variations of ultrasound is known to be challenging for new users,” noted Sarah Leverett, the vice president of marketing at Clarius. “T-Mode is the expert assistant that helps novice MSK clinicians to quickly build imaging skills for confident assessments and in-clinic diagnoses.”
Clarius is showcasing the T-Mode Anterior Knee feature at the American Medical Society for Sports Medicine annual meeting April 22-27, 2025 in Kansas City.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
