Register Now: Image-Based Risk: The Next Frontier in Breast Cancer Screening
|Articles|July 16, 2020

Quantib Secures FDA Clearance for AI Workflow Platform

Quantib AI Node is designed for more rapid processing of CT and MRI scans.

Artificial intelligence (AI) solutions company Quantib secured 510(k) clearance from the U.S. Food & Drug Administration (FDA) this week for its AI workflow integration platform, Quantib AI Node.

Designed to help radiologists process CT and MRI scans faster, company officials said, the “plug-and-play” tool can assist with more rapid diagnosis, potentially leading to better outcomes.

“Quick, accurate diagnoses are the first crucial step towards better outcomes, yet most of the platforms radiologist are told to work with remain underutilized because of a complicated user experience,” said Arthur Post Uiterweer, Quantib’s chief executive officer.

Company leaders said they hope securing FDA clearance will enable the platform to alleviate some pressures caused by resources that are already stretched thin due to the COVID-19 pandemic. To bring its solution closer to radiologists state-side, the Netherlands-based company has opened a New-York based office.

So far, said one investigator who has tested Quantib’s AI platform, the tool’s performance has been effective.

“Our (pre-clinical) experience with the new Quantib AI Node is excellent,” said Wouter Veldhuis, M.D., Ph.D., a radiologist with the University Medical Center Utrecht. “It integrates seamlessly and already shows it can scale with increasing load and newly available algortihms. I really see this helping us improve 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.