FDA Radiology AI Devices

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.

The Aquilion Prime SP V10.2 with AiCE-i is an advanced CT imaging system that uses artificial intelligence through Deep Convolutional Neural Networks to reduce image noise and improve image clarity. This system helps clinicians capture better quality whole-body CT scans, including the head, optimizing image quality and potentially reducing radiation dose for patients.

The Aquilion ONE (TSX-306A/3) V10.0 with Spectral Imaging System is a whole-body multi-slice helical CT scanner. It captures high-quality cross-sectional volume images of whole organs in a single rotation. It includes advanced AI algorithms—AiCE for noise reduction using Deep Convolutional Neural Networks and FIRST iterative reconstruction to improve image quality and reduce radiation dose. It supports spectral imaging with rapid kV switching to differentiate material composition in tissues, aiding clinicians in diagnosis and treatment planning.

The Aquilion Precision (TSX-304A/1 and /2) V8.8 with AiCE is an advanced CT scanner that captures high-resolution 3D images of the whole body. It uses an AI-based algorithm called AiCE (Advanced intelligent Clear-IQ Engine) to reduce image noise and enhance image quality, which helps clinicians detect details more clearly. This makes diagnoses more accurate and can potentially reduce patient radiation exposure.

The Aquilion ONE (TSX-305A/6) V8.9 with AiCE is a whole body multi-slice helical CT scanner designed to acquire high-quality cross-sectional images of the whole body, including the head. It uses an advanced AI-powered reconstruction algorithm called AiCE to reduce image noise and improve image quality, helping clinicians to perform more accurate and detailed imaging across multiple anatomical regions like abdomen, pelvis, lung, and cardiac areas.