Register Now: Image-Based Risk: The Next Frontier in Breast Cancer Screening
News|Articles|November 20, 2025

New AI-Powered Ultrasound Feature May Enhance Planning for Peripheral IV Procedures

Author(s)Jeff Hall

The recently launched PIV Assist reportedly offers a variety of features including real-time calculation of the catheter-to-vein ratio and pre-scan differentiation of veins and arteries to facilitate vascular access planning.

In order to support commonly performed peripheral intravenous (PIV) access procedures, Fujifilm Sonosite has launched the AI-enabled feature PIV Assist, which will be available on Sonosite LX, PX and ST ultrasound platforms.

Trained on tens of thousands of ultrasound images, PIV Assist facilitates pre-scan differentiation between veins and arteries to aid clinicians in planning for vascular access procedures, according to Fujifilm.

The company said key attributes for PIV Assist include real-time calculation of the catheter-to-vein (CVR) ratio and color coding for veins and arteries.

"Peripheral IV procedures are among the most common performed on patients, and growing evidence supports ultrasound-guided insertion as a helpful technique, especially for those with difficult IV access,” noted Richard Fabian, president and CEO of Fujifilm Sonosite, Inc. “ … PIV Assist is an AI-powered tool we developed in close collaboration with our customers. It’s designed to reduce cognitive load and enhance clinician confidence during vascular access planning — both of which are critical to delivering effective patient care.”


Related to this article

Key Sessions of Interest for Radiologists at the Upcoming HLTH USA Conference
How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
Current Perspectives on Integrating AI into Radiology
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.