FDA Radiology AI Devices

Precise Image is an AI-powered reconstruction software for computed tomography (CT) systems developed by Philips. It produces high-quality images with lower radiation dose and noise, improving the detectability of low contrast features. This helps clinicians obtain clearer diagnostic images from CT scans of the head, body, and vascular regions, enhancing patient safety by reducing radiation exposure while maintaining image quality.

Deep Learning Image Reconstruction by GE Healthcare is a software that uses deep neural networks to reconstruct high-quality CT images from X-ray transmission data. It helps radiologists by producing images with improved noise reduction, spatial resolution, and artifact suppression, suitable for head, whole body, cardiac, and vascular CT scans at routine clinical throughput.

The Aquilion Exceed LB is a whole-body multi-slice helical CT scanner that captures detailed cross-sectional images of the body, including the head. It incorporates AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks, to improve image quality and reduce noise. This helps clinicians obtain clearer, more accurate diagnostic images for various body regions, including abdomen, pelvis, lung, cardiac, extremities, head, and inner ear.

The uCT ATLAS with uWS-CT-Dual Energy Analysis is a multi-slice CT scanner designed for producing cross-sectional images of the whole body and specific organs using advanced imaging technology. It features fast scanning with high spatial and temporal resolution, low radiation dose, and AI-based enhancements for image quality and patient positioning. Its dual energy analysis software helps differentiate tissue composition using CT images acquired at different energy levels, aiding diagnostic insights.

Precise Position is an AI-enabled accessory for Philips Incisive CT systems that assists technologists in accurately positioning patients before CT scans. It uses a ceiling-mounted camera to detect patient orientation, determine the scan range, and automatically center the patient's anatomy. This reduces positioning time and enhances accuracy for head, chest, abdomen, and pelvic CT imaging, ultimately improving imaging workflow and patient comfort.

The Aquilion ONE (TSX-306A/3) V10.4 with Spectral Imaging System is a whole-body CT scanner that can capture detailed cross-sectional volume images of organs in a single rotation. It uses advanced AI algorithms such as deep convolutional neural networks to improve image quality and reduce noise, helping clinicians to better visualize anatomy and potentially optimize iodinated contrast media use. The spectral imaging system acquires images at different energy levels nearly simultaneously to differentiate tissues and materials, assisting in diagnosis and treatment planning.

MaxFOV 2 is a software option for GE CT scanners that uses deep learning to extend the display field of view in CT images beyond the scanner's nominal field, providing improved visualization of patient anatomy, especially useful in radiation therapy planning and for large patients. This helps clinicians obtain more complete images for diagnosis and treatment planning when parts of the body are outside standard scan coverage.

The Aquilion Lightning (TSX-036A/7) V10.2 with AiCE-i is a computed tomography (CT) scanner designed for whole body imaging, including the head. It incorporates an AI-driven image reconstruction algorithm called AiCE-i that reduces image noise and improves image quality by using deep convolutional neural networks. This enhancement supports clinicians by providing clearer, more detailed images with potentially lower radiation dose, facilitating better diagnosis and patient care.

The Aquilion Exceed LB (TSX-202A/3) V10.6 with AiCE-i is a whole-body multi-slice helical CT scanner that acquires and displays cross-sectional volume images, including the head. It incorporates AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks, to improve image quality and reduce noise in scans of the abdomen, pelvis, lung, extremities, head, and inner ear. This technology helps clinicians obtain clearer images at potentially lower radiation doses, facilitating better diagnostic accuracy.

Deep Learning Image Reconstruction for Gemstone Spectral Imaging by GE Medical Systems is an AI-powered CT image reconstruction method designed to produce high-quality cross-sectional CT images from dual-energy X-ray data. It is intended for whole body, vascular, and contrast-enhanced head CT applications, enhancing image quality with a deep neural network-based algorithm that improves low contrast detectability, noise reduction, and artifact suppression, supporting accurate and reliable diagnosis.