FDA Radiology AI Devices

qCT LN Quant is a software tool that helps radiologists track, assess, and quantify lung nodules seen in CT scans. It provides volumetric and diameter measurements of user-selected nodules, with 2D and 3D visualizations, and uses AI algorithms to assist in characterizing nodules including measurements like volume doubling time and density. It supports clinical decision-making with integrated risk calculators based on established lung nodule malignancy and management guidelines.

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.

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.

qXR-PTX-PE is an AI-powered software that assists radiologists by automatically analyzing adult chest X-rays to detect signs of pleural effusion and pneumothorax. It helps prioritize cases by providing case-level outputs within the existing PACS/workstation without altering images or providing direct clinical diagnosis, thereby improving workflow efficiency.

qXR-BT by Qure.ai Technologies is an AI-powered software designed to analyze chest X-ray images to help physicians confirm the position of breathing tubes. It generates secondary digital images with highlighted tube tips and anatomical landmarks, providing valuable adjunctive information during radiological assessment.

qER-Quant is an AI-powered software that processes non-contrast head CT scans to automatically identify and quantify key brain structures such as intracranial hyperdensities, lateral ventricles, and midline shift. It helps clinicians by providing volumetric data and visual overlays to aid in diagnosis and monitoring brain conditions over time.

qER is an AI-powered software designed to analyze non-contrast head CT scans to detect critical conditions like intracranial hemorrhage, mass effect, midline shift, and cranial fractures. It assists clinicians by prioritizing urgent scans for review, helping to speed up diagnosis without altering the original image data.