FDA Radiology AI Devices

CardIQ Suite is a non-invasive software tool that analyses 2D and 3D CT cardiac images to assist clinicians in visualizing and measuring heart structures and vessels. It provides calcium scoring to evaluate calcified plaques and uses deep learning algorithms to automate segmentation and labeling of heart and coronary arteries, improving diagnostic workflow for cardiovascular diseases.

The ACUSON Sequoia Diagnostic Ultrasound System family by Siemens Medical Solutions includes multi-purpose, software-controlled ultrasound systems designed to provide detailed images and measurements from inside the body. These systems support various clinical applications including fetal, abdominal, cardiac, musculoskeletal, and vascular imaging, among others. They assist clinicians by offering advanced imaging modes such as 2D, Doppler, elastography, and 3D/4D volume imaging, as well as specialized tools like Ultrasonically-Derived Fat Fraction (UDFF) for managing hepatic steatosis. The systems deliver real-time imaging and measurements to help diagnose and manage a wide range of conditions effectively.

MICSI-RMT is a software medical device designed to improve head MRI images by reducing noise, enhancing image quality to assist radiologists. It processes functional and diffusion MRI images without a user interface, outputting enhanced images for better visualization of brain structures and activation maps, aiding in clinical MRI interpretation.

Rayvolve by AZmed SAS is an AI-powered software designed to assist radiologists and emergency physicians in detecting fractures from X-ray images of various musculoskeletal regions in adults and children aged 2 years and older. It enhances fracture diagnosis by automatically highlighting potential fractures on standard radiographic views, improving diagnostic accuracy and workflow efficiency.

The Swoop Portable MR Imaging System by Hyperfine, Inc. is a portable ultra-low field MRI device designed to image the internal structure of the head. It provides physicians with useful diagnostic images in environments where full diagnostic examination is not practical. The system uses deep learning reconstruction algorithms to improve image quality and is intended for use at the point of care, such as emergency rooms and intensive care units, enhancing access to MRI imaging in diverse clinical settings.

RUS by Hutom Inc. is a medical imaging software designed to aid healthcare professionals in reading, interpreting, and planning treatment based on iodine contrast-enhanced abdominal CT scans. The software provides basic imaging tools, 3D modeling, and segmentation of anatomical structures, including organs and vessels, enhancing surgical planning and diagnosis. It incorporates AI-based machine learning models to improve accuracy in organ segmentation, vessel detection, and pneumoperitoneum analysis, supporting clinicians in patient management decisions.

BriefCase-Triage is an AI-powered software designed to assist hospital networks and trained radiologists in identifying suspected pulmonary embolism cases from CT pulmonary angiography (CTPA) images. The software analyzes images in parallel with standard interpretation, flags potential positive findings, and notifies clinicians with compressed preview images for triage purposes, helping prioritize urgent cases and reduce turnaround times without replacing standard diagnostic workflows.

Acorn 3D Software is an advanced medical imaging software that processes CT and CTA scans to visualize, segment, and create detailed 3D digital models of musculoskeletal and craniomaxillofacial anatomy, including spine regions. It offers machine learning-based automatic segmentation for certain vertebrae and semi-automatic/manual tools for other bones. Clinicians can use these digital models for measurement, treatment planning, and can also produce physical 3D printed replicas for diagnostic purposes, enhancing surgical planning and patient care.

SubtleSYNTH (1.x) is an AI-based software that synthesizes STIR contrast images from T1- and T2-weighted spine MRI sequences. It uses a convolutional neural network to generate synthetic images that can be reviewed alongside traditional MRI scans, helping radiologists by providing additional image contrast information without additional scanning time or patient burden.

SMART Bun-Yo-Matic X-Ray is a software tool that uses X-ray images of the foot and ankle to create 3D mathematical models, provide radiographic measurements, and assist orthopedic healthcare professionals in diagnosis and surgical planning. The software visualizes patient anatomy and orthopedic fixation devices, enabling precise pre-surgical planning to improve treatment outcomes for foot and ankle conditions such as hallux valgus.