FDA Radiology AI Devices

MeVis Liver Suite is a medical image analysis software designed to assist physicians, especially radiologists and surgeons, in evaluating the liver and its vascular anatomy using CT and MR images. It provides tools for manual and AI-based semi-automatic segmentation of abdominal organs, liver lesions, and vascular structures, supporting treatment planning and follow-up assessment for liver-related conditions. The software calculates volumes, visualizes 3D vascular tumor margins, and enables manual spatial registration of images, enhancing clinical workflow without replacing diagnostic workstations.

Rapid SDH is an AI-based software that helps radiologists prioritize and triage head CT scans by detecting suspected hemispheric subdural hemorrhage (SDH). It analyzes non-contrast head CT images in parallel with standard readings and provides timely notifications with preview images for informational use, assisting clinicians in workflow management to improve patient care.

SpotLight/SpotLight Duo (with DLIR option) is a CT scanner that produces cross-sectional images of the body, including cardiovascular and thoracic anatomies. It uses a dual-tube CT system and advanced deep learning reconstruction to enhance image quality while reducing noise. This helps clinicians obtain clearer diagnostic images for disease detection and therapy planning.

The NeuViz 128 Multi-Slice CT Scanner System by Neusoft Medical Systems is a CT scanner designed for whole body imaging, producing cross-sectional images to help clinicians diagnose various medical conditions. It incorporates advanced AI-powered reconstruction methods to reduce noise and enhance image quality, potentially lowering radiation dose for patients while improving diagnostic capabilities.

The EFAI NeuroSuite CT ICH Assessment System by Ever Fortune.AI is AI-based software that analyzes adult non-contrast head CT scans to detect signs of acute intracranial hemorrhage. It helps radiologists prioritize urgent cases by sending triage notifications to their imaging workstations, enabling faster clinical assessment. This tool supports but does not replace clinician review.

Brainomix 360 Triage LVO is an AI-powered software that analyzes CT angiogram images to detect suspected large vessel occlusions in the brain. It assists hospital clinicians by providing priority notifications and compressed image previews via a mobile app or web interface, helping specialists quickly identify and review critical cases in parallel with standard workflows. This tool supports faster triage but is not intended for diagnostic use on its own.

EFAI RTSUITE CT HCAP-Segmentation System is an AI-powered software tool designed to assist radiation oncology professionals by automatically outlining critical organs at risk on CT scans. It helps radiation therapists plan treatments more efficiently by providing initial organ contours that clinicians can review and adjust, improving workflow while ensuring safety and accuracy.

Annalise Enterprise CTB Triage Trauma is an AI software tool designed to analyze non-contrast brain CT scans and assist clinicians by prioritizing cases with features suggestive of mass effect. It integrates with image and order management systems to notify users for earlier review, improving workflow efficiency without replacing clinical decision-making.

Annalise Enterprise CTB Triage Trauma is an AI-based software tool that assists clinicians by analyzing non-contrast brain CT scans to detect signs of vasogenic edema. It helps prioritize cases with suspected findings for earlier review, improving workflow efficiency in medical imaging departments.

Aquilion Serve (TSX-307A/1) V1.3 is a whole-body multi-slice helical CT scanner that captures detailed cross-sectional volume images including the head. It incorporates AiCE, an AI-powered noise reduction algorithm using deep convolutional neural networks to improve image quality and reduce noise. This helps clinicians obtain clearer images for specialized studies across multiple anatomical regions, aiding diagnosis and treatment planning while potentially reducing radiation dose.