FDA Radiology AI Devices

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.

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.

WRDensity by Whiterabbit.ai is a software tool that uses deep learning to analyze digital mammography images and automatically assess breast tissue composition according to the ACR BI-RADS 5th Edition breast density categories. It helps radiologists by providing breast density categorization and probability scores, which can improve breast cancer risk assessment and patient management. The software works with various mammography systems and outputs results to PACS and RIS for clinician review.

AView LCS by Coreline Soft Co., Ltd. is a medical software tool that helps clinicians review, analyze, and report on thoracic CT scans. It automatically detects and measures lung nodules, calculates malignancy risk, supports follow-ups with nodule matching, and generates diagnostic reports. This improves the accuracy and efficiency of lung nodule assessment and lung cancer screening.

The SIGNA 7.0T is a high-performance whole-body MRI scanner designed by GE Healthcare to produce high-resolution images of the head and extremities. It supports multiple imaging techniques and pulse sequences to generate detailed anatomical, functional, spectroscopic, and vascular images. The device helps clinicians in diagnosis by delivering high signal-to-noise ratio images with shorter scan times, particularly enabled by its advanced 7.0 Tesla magnetic field strength and optimized hardware.

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.

LVivo Seamless is an AI software application that automatically analyzes echocardiogram ultrasound images to assess cardiac function by calculating parameters like ejection fraction (EF). It helps clinicians by streamlining the evaluation process, sending analyzed results directly to PACS for review, enhancing diagnostic efficiency and accuracy for patients with suspected cardiac disease.