The clearance allows AIRS Medical’s SwiftMR to work with OEM deep learning solutions, aiming to further reduce scan times and improve workflow.
AIRS Medical has received additional US Food and Drug Administration (FDA) clearance for SwiftMR, an FDA-cleared vendor-neutral MRI image enhancement solution, to operate in conjunction with deep learning reconstruction pipelines from original equipment manufacturers (OEMs).
According to the company, SwiftMR works alongside OEM deep learning solutions in two primary ways. For facilities where an OEM solution is already installed, SwiftMR can be used to achieve additional scan time reduction. The company cited an example where an imaging center using a GE 3T scanner with AIR Recon DL reduced routine brain scan times from an already accelerated 15 minutes to 9 minutes by adding SwiftMR.
In cases where an OEM’s solution does not cover a particular sequence, SwiftMR can extend AI-powered image enhancement and scan time reduction capabilities across all pulse sequences and body parts.
“The difference between a 15-minute and a 10-minute scan is whether a site can actually move from a 30- to 20-minute appointment slot. The additional scan time reductions SwiftMR delivers on top of OEM DL solutions could be enough to change how they schedule,” says Jina Park, chief strategy officer at AIRS Medical, in a release.
The new clearance follows a period of focused development and testing on images already processed by OEM deep learning tools.
“Over the past year, we trained SwiftMR specifically on OEM DL-processed images and tested it across multiple vendors and field strengths,” says Woojin Jung, head of product at AIRS Medical, in a release. “This new FDA clearance confirms that it meets the standard for quality and gives our customers the confidence to deploy SwiftMR alongside OEM DL solutions.”
The company states that SwiftMR, used in conjunction with OEM deep learning solutions, is now available for imaging centers and hospitals.
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