FDA Radiology AI Devices

AVIEW CAC is a software that analyzes non-contrast chest CT scans to quantify calcified plaques in coronary arteries, calculate the Agatston score, and provide risk stratification based on calcium scoring, age, and gender. It helps radiologists and cardiologists by supporting image storage, transfer, and display, facilitating clinical decision-making for coronary artery disease risk assessment.

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.

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.