FDA Radiology AI Devices

EFAI CARDIOSUITE CTA ACUTE AORTIC SYNDROME ASSESSMENT SYSTEM is an AI-powered software that automatically analyzes CT angiography scans of the chest region to detect signs of acute aortic syndrome, including aortic dissection and intramural hematoma. It helps radiologists prioritize and triage cases by flagging suspicious studies, enabling faster diagnosis and improved workflow efficiency, although it is not a substitute for clinical decision-making.

AI-Rad Companion (Pulmonary) by Siemens Healthcare GmbH is software that uses machine learning and deep learning to analyze previously acquired chest CT scans. It helps radiologists and physicians segment lungs and lung lobes, identify and measure solid and sub-solid lung nodules, and track changes over time. This supports clinicians in assessing lung diseases, improving workflow efficiency and diagnostic accuracy.

CINA-iPE is an AI-powered software that analyzes contrast-enhanced CT scans (not dedicated CTPA) to help detect incidental pulmonary embolisms. It flags suspected positive cases in real-time to assist radiologists in prioritizing patients and improving workflow efficiency. It operates alongside standard care without altering original images and provides informative preview notifications but does not replace diagnostic review.

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.

Radify Triage is an AI-powered software that analyzes adult chest X-ray images to detect critical findings like pleural effusion and pneumothorax. It provides a notification within the PACS system to help radiologists prioritize urgent cases, improving workflow efficiency and patient care. It acts as a triage tool to flag suspicious cases but does not replace clinical decision-making.

LungQ v3.0.0 is a software tool that helps physicians analyze CT scans of the lungs by automatically segmenting lung structures, measuring lung volumes and densities, evaluating fissures, and generating reports. It supports diagnosis and monitoring of lung conditions by providing quantitative assessments from CT scans, streamlining clinical workflows.

qXR-LN is an AI-based software device that analyzes frontal chest X-rays to detect and mark suspected lung nodules between 6 and 30 mm. It acts as a second reader to assist physicians like radiologists and pulmonologists, providing adjunctive information to improve detection accuracy without substituting the original image or clinical judgment.

Tyto Insights for Wheeze Detection is an AI-powered software tool that analyzes lung sounds recorded by the FDA-cleared Tyto Stethoscope to automatically detect the presence of wheezing. This helps clinicians by providing decision support in respiratory assessments for adults and children aged 2 years and older. It offers clear positive or negative wheeze detection results through a web interface accessible to healthcare providers and patients, improving remote and point-of-care lung sound evaluation.

BriefCase-Quantification by Aidoc Medical is an AI-driven software designed to analyze non-cardiac-gated, non-contrast CT scans including the heart to detect and categorize coronary artery calcification (CAC). It provides physicians with a four-category risk assessment for coronary artery disease along with preview images of detected calcium, assisting clinical evaluation but not replacing full image review or clinical judgement.

BraveCX is an AI-based software that analyzes adult chest X-ray images to detect pleural effusion and pneumothorax. It helps radiologists prioritize cases with suspected critical findings by flagging suspicious images in the PACS worklist, enhancing workflow efficiency without providing direct diagnostic decisions.