FDA Radiology AI Devices

AutoChamber is an AI-powered software tool designed to analyze both non-contrast and contrast-enhanced chest CT scans to automatically measure and report volumes of cardiac chambers including left atrium, left ventricle, right atrium, right ventricle, and left ventricular wall. It assists healthcare providers by providing quantitative imaging data that helps identify conditions such as enlarged heart and left ventricular hypertrophy, thus aiding in further clinical evaluation and management of cardiovascular risk.

The EPIQ Series Diagnostic Ultrasound System by Philips is an advanced ultrasound imaging device that uses AI-powered software to aid clinicians in semi-automated quantification of heart valve function, specifically assessing the tricuspid valve and mitral valve regurgitation. This helps improve accuracy and efficiency in diagnosing cardiac conditions by providing detailed measurements and flow analysis from 3D ultrasound images.

EchoSolv AS is a cloud-based AI and machine learning decision support software designed to help cardiologists assess severe aortic stenosis (AS) from transthoracic echocardiogram data and patient demographics. It provides a categorical probability of severe AS to assist in diagnosis alongside clinical guidelines, improving identification accuracy and supporting patient management decisions during echocardiogram interpretation.

LVivo Software Application is an AI-powered software platform designed to automatically analyze ultrasound images of the heart and bladder. It calculates important functional and structural parameters of the heart's left and right ventricles and the bladder volume, helping clinicians with rapid and accurate assessments during routine echocardiographic exams and point-of-care settings.

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.

FETOLY-HEART is a software tool that helps healthcare professionals during fetal ultrasound exams by automatically detecting key fetal heart views and assessing the quality of those views in real-time. It supports clinicians in ensuring a complete and accurate fetal heart examination, particularly in the second and third trimesters of pregnancy, improving diagnostic confidence and workflow efficiency.

ADAS 3D is an AI-powered software tool that processes cardiac MRI and CT images to support visualization, quantification, and analysis of heart structures and myocardial fibrosis in patients with cardiovascular disease. It aids medical professionals in making informed decisions for cardiac care by providing detailed 3D imaging data, especially for pre-planning and during electrophysiology procedures.

Imbio PHA (4.0.0) is a medical image processing software designed to measure the maximal diameters of the heart's right and left ventricles, the main pulmonary artery, and the ascending aorta from CT pulmonary angiography scans. It uses artificial intelligence to identify and measure these structures, providing annotated images and summary reports to assist clinicians in evaluating cardiovascular 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.

AI Platform 2.0 (AIP002) by Exo Imaging is an AI-powered software tool designed to assist healthcare professionals by analyzing ultrasound images of the heart and lungs. It helps detect lung structures and artifacts, and quantifies cardiac functions such as left ventricular ejection fraction and myocardium wall thickness. The tool also provides real-time quality feedback to improve ultrasound image acquisition, aiding clinicians in making better diagnostic assessments for adult patients.