FDA Radiology AI Devices

PROView is a software tool designed to help clinicians review and analyze prostate MRI scans by automatically segmenting the prostate gland and assessing lesions using AI-based deep learning techniques. It supports the evaluation of prostate lesions according to PI-RADS guidelines, providing measurements, scoring, and reporting functionalities to assist in diagnosis and treatment planning for prostate conditions.

AI-Rad Companion Organs RT by Siemens is a post-processing AI software that automatically contours organs at risk on CT images to aid radiation therapy treatment planning. It uses deep learning algorithms to generate organ contours that can be reviewed and accepted by trained medical professionals, helping streamline radiotherapy preparation and ensure accurate targeting of treatment.

The Neuro.AI Algorithm by TeraRecon, Inc. is an AI-powered medical imaging software that analyzes brain perfusion images acquired via CT or MRI. It processes dynamic imaging data to generate detailed maps of brain tissue blood flow and vascular structures, helping trained medical professionals assess brain perfusion and vascular health efficiently. The software outputs detailed parametric maps and visualization aids to support clinical diagnosis without replacing physician judgment.

AutoContour is a software tool that helps radiation treatment planners automatically contour and review anatomical structures in medical images, primarily CT scans, to prepare for radiation therapy treatment planning. It uses cloud-based machine learning algorithms to produce initial contours, and provides a web interface for review and editing, enhancing efficiency and accuracy for clinicians.

Quantib Prostate is advanced image post-processing software designed to assist trained medical professionals in analyzing prostate MRI scans. It provides tools for automatic and semi-automatic segmentation of the prostate, visualization of multiparametric MRI images, PI-RADS scoring, and lesion analysis. By combining multiple MRI sequences into a single view and supporting volume computations, it helps clinicians in the detailed interpretation of prostate imaging, potentially improving diagnostic accuracy.

Cleerly Labs v2.0 is a web-based software that assists trained medical professionals by analyzing coronary CT images to detect atherosclerosis and stenosis. It uses AI to segment and label coronary arteries, enhancing efficiency and accuracy in diagnosing coronary artery disease and supporting clinical decision making.

LiverMultiScan (LMSv4) is a standalone software device that assists clinicians by processing MR images of the liver to provide quantitative maps and measurements that help characterize liver tissue health. It automates segmentation and analysis of MRI data to produce reports for trained clinicians to interpret as part of liver disease diagnosis and assessment.

THINQ is a medical imaging software device designed to automatically segment, label, and measure volumes of brain structures from 3D T1-weighted MRI scans. It provides clinicians with visual and quantitative reports comparing brain volumes to reference data, helping in the assessment of neurological conditions by automating brain morphometry.

Xeleris V Processing and Review System is a nuclear medicine software platform that helps physicians process, review, and quantify medical images from nuclear medicine, PET, and associated CT or MR scans. It supports multiple clinical applications including detection of brain diseases, lung conditions, coronary artery disease, and bone metastases, using AI-based image analysis such as deep learning for automated segmentation to enhance workflow efficiency and accuracy.

AVA (Augmented Vascular Analysis) by See-Mode Technologies is a software that uses artificial intelligence to analyze vascular ultrasound images from carotid and lower limb arteries. It segments vessel walls, measures carotid intima-media thickness, reads Doppler velocities, and generates detailed vascular ultrasound reports to aid clinicians like physicians and medical technicians in assessing cardiovascular health. The software runs on standard computers or cloud platforms and supports quality control by qualified clinicians to ensure accuracy.