I am curious about SwiftMR’s deep learning algorithm!
Written by Geunu Jeong Head of SwiftMR Research in AIRS Medical SwiftMR is a deep learning-based product that enhances the quality of MR images. So, how does this algorithm differ from existing deep learning algorithms to achieve such outstanding reconstruction performance? You can find the answer in the paper “All-in-One Deep Learning Framework for MR […]
AIRS Medical Named a Top Digital Health Company: Key Takeaways
At AIRS Medical, we strive to transform healthcare through cutting-edge artificial intelligence (AI) and robotics. That’s why we’re thrilled to be featured in Newsweek’s inaugural World’s Best Digital Health Companies — a global list of renowned organizations that excel in medical care and discovery. The selection process Newsweek partnered with Statista, the leading online statistics […]
All-in-One Deep Learning Framework for MR Image Reconstruction
Authors AIRS Medical, Seoul, Korea We introduce a novel, all-in-one deep learning framework for MR image reconstruction, enabling a single model to enhance image quality across multiple aspects of k-space sampling and to be effective across a wide range of clinical and technical scenarios. This DICOM-based algorithm serves as the core of SwiftMR (AIRS […]
Transforming MRI Efficiency: The Swift Rise of AI at Naugatuck Valley Radiology
Seven years ago at RSNA, Chris Beaulieu, Operations Director at Naugatuck Valley Radiology(NVR), was approached by a technology vendor claiming something unimaginable- that it was possible to scan a brain in just 8 minutes. The catch? It required costly hardware and software upgrades, enhancing magnet strength, field strength limitations, and other expensive and unfeasible barriers. […]