FDA Radiology AI Devices

Sonic DL is a software feature by GE Healthcare that uses deep learning to reconstruct cardiac MR images much faster by processing under-sampled data. It allows highly accelerated imaging with preserved image quality, enabling faster and more efficient MRI scans for cardiac assessment in patients of all ages.

AIR Recon DL is a deep learning-based software feature for GE Healthcare MRI systems that improves image quality by reducing noise and ringing artifacts in MRI images. It helps clinicians by enabling shorter scan times without losing image clarity, thus improving patient comfort and diagnostic accuracy across multiple anatomies and MR field strengths.

The SIGNA 7.0T is a high-performance whole-body magnetic resonance imaging (MRI) system designed to produce high-resolution images with high signal-to-noise ratio and short scan times. It supports imaging of the head and extremities in multiple planes and includes AI-driven image reconstruction software called AIR Recon DL, which enhances image quality by improving signal-to-noise ratio and sharpness without compromising low contrast detectability. This aids clinicians by providing clearer images for more accurate diagnoses.

The SIGNA 7.0T is a high-performance whole-body MRI scanner designed by GE Healthcare to produce high-resolution images of the head and extremities. It supports multiple imaging techniques and pulse sequences to generate detailed anatomical, functional, spectroscopic, and vascular images. The device helps clinicians in diagnosis by delivering high signal-to-noise ratio images with shorter scan times, particularly enabled by its advanced 7.0 Tesla magnetic field strength and optimized hardware.

The SIGNA Premier is a whole body magnetic resonance imaging (MRI) scanner designed to produce high-resolution and high signal-to-noise ratio images in short scan times. It supports imaging of multiple body regions including the head, spine, breast, heart, abdomen, and musculoskeletal system, and uses advanced software featuring deep learning algorithms to automate steps in brain MRI examinations, thereby helping clinicians improve workflow and diagnostic consistency.