FDA Radiology AI Devices

Discover FDA-cleared medical imaging AI devices with clean summaries, company insights, and linked references. We help you quickly understand what's approved, who built it, and how it fits into the evolving landscape of radiology AI.

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.

FDA #
K200323
Product Code
QKB

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.

FDA #
K201710
Product Code
LLZ

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.

FDA #
K202280
Product Code
LLZ

BriefCase by Aidoc Medical, Ltd. is an AI-powered software that analyzes contrast-enhanced chest CT scans to detect incidental pulmonary embolism. The software notifies radiologists of suspected positive cases via a desktop application, helping prioritize urgent cases for faster review without replacing the standard diagnostic process. It supports workflow improvements by flagging cases early, potentially saving hours in time to examination.

FDA #
K201020
Product Code
QAS

AVIEW by Coreline Soft is a comprehensive medical imaging software that processes CT images of the lungs and heart. It helps physicians analyze lung tissue quantitatively, characterize lung nodules, evaluate coronary artery calcium, and monitor progression of lung disease. The software provides advanced segmentation, registration, quantitative metrics, and reporting tools, integrating AI techniques such as deep learning and CAD to enhance diagnostic support and workflow efficiency.

FDA #
K200714
Product Code
LLZ

Limbus Contour is a software tool that uses machine learning to automatically create contours of normal anatomical structures on CT and MRI images for use in radiation therapy planning. It helps trained clinicians by providing optimized contours that can be imported into treatment planning systems, improving efficiency and accuracy in defining healthy tissues.

FDA #
K201232
Product Code
LLZ

VIDA|vision is an interactive imaging software that helps physicians analyze CT scans of the lungs. It uses deep learning algorithms to automatically segment lung regions and provides detailed quantitative analyses to assist in diagnosing and monitoring lung diseases such as lung cancer, COPD, and asthma. This software reconstructs two-dimensional CT images into 3D views and generates detailed reports, streamlining the workflow and reducing manual effort for clinicians.

FDA #
K200990
Product Code
JAK

AccipioIx is an AI-based software that processes non-contrast head CT scans to identify signs of acute intracranial hemorrhage. It helps clinicians prioritize urgent cases for faster review by analyzing images and flagging suspected hemorrhages, improving workflow efficiency in acute care settings.

FDA #
K201310
Product Code
QAS

Rapid LVO is a software tool that helps hospitals and radiologists quickly identify and prioritize suspected cases of Large Vessel Occlusion (LVO) in head CT angiography images. It analyzes images using a software algorithm and provides notifications with preview images to assist clinical workflow, without replacing standard diagnostic procedures.

FDA #
K200941
Product Code
QAS

Deep Recon is an AI-powered image reconstruction software designed for CT scanners. It uses deep learning technology to produce clearer CT images with less noise and better low contrast detectability, helping clinicians get accurate diagnostic images while potentially reducing the radiation dose for patients. It supports scans of the head, chest, abdomen, cardiac, and vascular regions, and is integrated into specific United Imaging CT scanners.

FDA #
K193073
Product Code
JAK
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