tiprankstipranks
Advertisement
Advertisement

RIVANNA Study Shows Accuro XV Enables Non-Physicians to Capture Diagnostic-Quality MSK Images

RIVANNA Study Shows Accuro XV Enables Non-Physicians to Capture Diagnostic-Quality MSK Images

New updates have been reported about RIVANNA.

Claim 55% Off TipRanks

RIVANNA has released peer‑reviewed clinical data showing that its Accuro XV automated musculoskeletal ultrasound system can generate diagnostic‑quality images of wrist and ankle injuries when used by non‑physicians after only one hour of hands‑on training. In a 205‑patient study led by investigators at UVA Health and UT Southwestern, clinical research assistants achieved image quality scores statistically indistinguishable from board‑certified emergency physicians, with more than 90% of scans in both groups deemed adequate for diagnostic interpretation.

The findings indicate that Accuro XV’s automated volumetric acquisition and guided scanning path can materially lower the ultrasound learning curve, supporting potential task‑shifting of extremity imaging from physicians to trained support staff in high‑volume emergency departments. This capability, combined with RIVANNA’s in‑development BoneEnhance segmentation software and CADe/x fracture‑detection module, positions the platform as a point‑of‑triage fracture‑care layer that could reduce reliance on X‑ray, streamline workflows, and expand access in settings with limited imaging expertise.

Published in the Journal of Emergency Medicine, the study also showed no meaningful difference in patient discomfort between Accuro XV and standard X‑ray, with median pain change of zero for both modalities. For RIVANNA, these results provide clinical validation that underpins its strategy to automate both image acquisition and interpretation, supporting its FDA 510(k) pathway and strengthening its value proposition to emergency medicine providers and health systems focused on throughput and cost efficiency.

Accuro XV is a portable, small‑footprint point‑of‑care system built on proprietary imaging hardware and AI models, designed to standardize musculoskeletal imaging across experience levels while avoiding ionizing radiation. The project has received funding support from the U.S. Department of Health and Human Services, including BARDA, underscoring its relevance to broader emergency preparedness and scalable deployment in acute‑care environments.

Disclaimer & DisclosureReport an Issue

1