FDA Radiology AI Devices

The CAC (gated) Algorithm is a software medical device designed to automatically detect and quantify coronary artery calcium from non-contrast ECG-gated cardiac CT scans. It aids physicians by providing calcium segmentation and quantification information integrated into their workflow, helping assess coronary artery health.

HealthCCSng is a software tool that uses artificial intelligence to automatically detect and measure calcified plaques in the coronary arteries from routine non-gated, non-contrast CT scans. It provides an exact calcium score and categorizes the amount of calcium present, with results integrated into the radiologist's workflow to assist in assessing risk for coronary artery disease.

CardIQ Suite is a non-invasive software tool that analyses 2D and 3D CT cardiac images to assist clinicians in visualizing and measuring heart structures and vessels. It provides calcium scoring to evaluate calcified plaques and uses deep learning algorithms to automate segmentation and labeling of heart and coronary arteries, improving diagnostic workflow for cardiovascular diseases.

SpotLight/SpotLight Duo (with DLIR option) is a CT scanner that produces cross-sectional images of the body, including cardiovascular and thoracic anatomies. It uses a dual-tube CT system and advanced deep learning reconstruction to enhance image quality while reducing noise. This helps clinicians obtain clearer diagnostic images for disease detection and therapy planning.

CAC Software by Imbio, Inc. is a machine learning-based post-processing tool that analyzes non-contrast CT images of the chest to assess calcified plaques in the coronary arteries. It quantifies the calcification burden by producing scores and metrics that help clinicians evaluate coronary artery disease risk. The software outputs annotated images and a detailed report, integrating into the standard DICOM workflow to assist physicians without making standalone diagnoses.

AI-Rad Companion (Cardiovascular) is a software product that uses AI and deep learning to analyze previously acquired chest CT images, providing quantitative and qualitative assessments of cardiovascular structures like the heart and aorta. It helps clinicians by automating segmentation, volume measurement, calcium quantification in coronary arteries, and diameter measurements of the aorta, thus supporting accurate and efficient cardiovascular disease evaluation.

The syngo.CT CaScoring software by Siemens is used to analyze non-contrast cardiac CT scans to detect and evaluate calcified lesions in coronary arteries. It calculates scores like the Agatston score, mass, and volume scores for different coronary arteries, helping physicians assess coronary artery disease and generate detailed reports to support patient management.

CardIQ Suite by GE Medical Systems is a non-invasive software tool designed to analyze 2D and 3D cardiac CT images, helping clinicians visualize and measure cardiovascular anatomy, including vessels and chamber mobility. It uses advanced AI algorithms for automatic calcium scoring and labeling of calcified plaques, aiding in diagnosis and treatment planning of cardiovascular diseases like coronary artery disease. The software also facilitates tracking calcium progression and supports clinicians with integrated workflows for reviewing coronary CT angiography data effectively.

HealthCCSng is a software device that automatically analyzes non-cardiac-gated CT scans to estimate the amount of calcified plaque in coronary arteries, which can indicate coronary artery disease risk. It provides radiologists with calcium detection categories and annotated images to aid in clinical decision-making within their usual workflow.

Syngo.CT CaScoring by Siemens is an AI-based software that evaluates non-contrasted cardiac CT images to identify and score calcified coronary lesions. It helps clinicians by automatically marking these lesions, assigning them to specific coronary arteries, and calculating clinically relevant scores such as the Agatston score, facilitating better assessment and documentation of coronary artery disease.