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.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.