FDA Radiology AI Devices

OnQ Neuro is an automated software device designed to analyze neurological MRI images, specifically for brain tumors. It performs automatic segmentation and quantification of tumor volumes and diffusion-weighted imaging data, helping clinicians assess tumor progression and treatment response more efficiently by providing quantitative and graphical image data that can be integrated into clinical workflows.

Advanced Algorithms for Treatment Management Applications (AATMA) is a software library that uses machine-learning convolutional neural networks to automatically segment medical images. It provides derived data sets for use in radiation therapy treatment planning, accessible via an API and intended to help clinicians efficiently generate and review treatment contours from imaging data.

FlightPlan for Liver is a post-processing software that helps physicians analyze 3D X-ray angiography images to visualize the liver's vasculature and identify arteries near hypervascular lesions. It incorporates AI algorithms, including deep learning-based liver segmentation, to support the planning of liver embolization procedures, improving physician workflow and precision in treatment planning.

Contour ProtégéAI is a software tool that assists trained medical professionals by automatically creating contours on CT and MR medical images using machine-learning algorithms. It helps in quantitative analysis, adaptive therapy, image segmentation of various anatomical regions including prostate via MR images, and supports radiation therapy treatment planning. The contours can be reviewed and edited with appropriate visualization software.

VBrain-OAR is a software device from Vysioneer Inc. designed to assist trained radiotherapy personnel in brain tumor radiation therapy treatment planning by automatically generating contours of organs at risk in brain MRI images using AI deep learning. It also provides image registration functions to align multi-modality medical images. This device supports clinicians by providing initial contour outlines to improve the efficiency and consistency of radiation treatment planning, while still requiring final confirmation by qualified personnel.

AI Segmentation is a cloud-based software product that uses artificial intelligence to automatically segment anatomical structures from CT images. It is designed to assist medical professionals in radiation therapy treatment planning by providing automated contours of organs in regions such as the head and neck, thorax, pelvis, and abdomen. The segmented structures can be reviewed, edited, and approved by qualified treatment planners and physicians to streamline planning and improve accuracy.

breastscape v1.0 is an advanced software tool used with Olea Sphere 3.0 to assist breast imaging physicians and MRI technologists in analyzing breast MRI data. It provides visualization, semi-automatic lesion segmentation, kinetic curve analysis, and planning assistance for MR-guided breast biopsy procedures, helping clinicians detect and characterize breast lesions and plan interventions more effectively.

The syngo.via RT Image Suite by Siemens is a software tool that helps clinicians visualize, manipulate, and contour medical images in 3D and 4D across multiple imaging modalities. It supports the preparation of radiation therapy treatments by allowing the viewing and editing of contours for tumors and organs-at-risk, managing points of interest, and generating synthetic CT images using AI algorithms. This tool improves the accuracy and efficiency of treatment planning for patients undergoing radiation therapy.

qER-Quant is an AI-powered software that processes non-contrast head CT scans to automatically identify and quantify key brain structures such as intracranial hyperdensities, lateral ventricles, and midline shift. It helps clinicians by providing volumetric data and visual overlays to aid in diagnosis and monitoring brain conditions over time.

aPROMISE is a cloud-based software platform that helps healthcare professionals and researchers manage, review, and analyze PSMA PET/CT medical images. It offers tools to mark and quantify regions of interest, supporting oncology care by providing quantitative analysis and report generation to inform patient management decisions.