FDA Radiology AI Devices

CT Cardiomegaly is a command-line software tool designed to automatically measure the cardiothoracic ratio from CT chest images. It uses machine learning algorithms to segment the heart and thoracic cavity and calculate both linear and area-based cardiothoracic ratios. This assists physicians in identifying cardiomegaly, providing quantitative measurements to support clinical decisions within healthcare settings.

qXR-CTR is an AI-powered software that helps physicians automatically measure the cardiothoracic ratio—the size of the heart relative to the chest—using chest X-ray images. It analyzes images to provide quick, accurate measurements that support clinical decision-making, making the process more efficient for healthcare providers.

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.

The iCAC Device is a software tool that analyzes routine chest CT scans to automatically detect and quantify coronary artery calcium, which helps physicians assess cardiovascular risk. It provides outputs such as calcium segmentation visualizations and quantitative calcium scores during standard clinical workflows, assisting physicians without replacing original reports or scans.

DTX Studio Clinic 3.0 is an AI-powered software tool designed to assist dentists in detecting dental conditions such as caries, bone loss, periapical radiolucency, root canal filling deficiencies, discrepancy at the margin of restorations, and calculus from intraoral radiographs. It supports review of bitewing and periapical radiographs in patients aged 15 and older, providing highlighted areas of suspicion to aid clinical assessment and diagnosis.

The EFAI Intelligent Cardiothoracic Ratio (iCTR) Assessment System is an AI-powered software that automatically measures the cardiothoracic ratio from chest X-ray images in the posterior-anterior view. It helps physicians by automatically calculating a key heart size measurement, supporting clinical assessments in hospitals and clinics for adult patients.

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.

AI-Rad Companion (Cardiovascular) is an AI-powered software that analyzes previously acquired CT chest images to segment the heart and aorta, quantify coronary calcium, and measure aortic diameters. It assists clinicians by providing quantitative and qualitative cardiovascular assessments to support diagnosis and evaluation in emergency, specialty, and general practice care.

HealthCCS is a software tool that uses cardiac CT images to automatically identify and measure calcified plaques in the coronary arteries. This helps physicians assess coronary artery disease risk by providing a calcium score and risk category report based on pre-existing CT scans, aiding further clinical decisions and patient management.