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.

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.

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.

The CellaVision DC-1 is an automated device that uses artificial intelligence to locate and preclassify white blood cells and characterize red blood cells on peripheral blood smears. It captures microscope images, presents them for operator review, and assists in differential blood cell counting, helping clinical laboratories perform in-vitro hematology analysis more efficiently and accurately.

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.

The Stethee Pro 1 is an electronic stethoscope designed for medical screening and diagnostic use. It detects and amplifies sounds from the heart, lungs, and other internal organs, and works with the Stethee Pro Software System to record, visualize, analyze, and share these sounds. This helps clinicians better assess patient heart and lung conditions through enhanced audio and data analysis tools.

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.