FDA Radiology AI Devices

Al-Rad Companion (Musculoskeletal) is AI-powered software designed to analyze CT images of the spine. It supports clinicians by automatically segmenting and labeling vertebrae, measuring vertebral heights, and calculating the mean Hounsfield unit values within vertebrae, aiding in musculoskeletal disease evaluation and assessment.

Broncholab is a software tool that helps doctors analyze CT scans of the lungs by providing detailed quantitative information about lung volume, airway volume, lung density, and other pulmonary tissue characteristics. It assists in the diagnosis and follow-up of lung abnormalities by creating 3D models and measurements from CT images, supporting clinical decision-making.

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.

Auto Positioning is a feature for GE CT systems that streamlines and automates patient positioning for CT exams by using a 2D/3D video camera and AI (deep learning) to determine anatomical landmarks, patient orientation, and optimal table position. This helps technologists position patients accurately and safely, improving image quality and workflow efficiency.

syngo.CT CaScoring is a post-processing software that assists physicians in evaluating and documenting calcified coronary artery lesions using CT scans. It calculates detailed calcium scores for the coronary arteries and generates reports to aid in cardiac risk assessment, helping clinicians detect and quantify coronary artery disease.

Deep Learning Image Reconstruction software by GE Healthcare is an AI-powered CT image reconstruction tool that uses a deep neural network to produce high-quality CT images for head, whole body, cardiac, and vascular scans. It improves image noise, contrast detectability, and spatial resolution, helping clinicians obtain clearer images from CT scans for accurate diagnosis and patient care.

AI-Rad Companion (Cardiovascular) is an AI-powered software that analyzes previously acquired CT chest images to segment the heart and aorta, quantify coronary calcium, and measure aortic diameters. It assists clinicians by providing quantitative and qualitative cardiovascular assessments to support diagnosis and evaluation in emergency, specialty, and general practice care.

AI-Rad Companion (Pulmonary) is advanced software designed to analyze CT images of the lungs. It helps clinicians by segmenting lung regions, measuring lung volumes, identifying areas with abnormal tissue density, and detecting lung lesions including solid pulmonary nodules. This enables efficient and precise assessment of lung disease from existing CT scans, supporting better diagnosis and treatment decisions in emergency and specialty care.

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.