FDA Radiology AI Devices

inHEART Models is a suite of medical imaging software tools designed to assist physicians, cardiologists, and radiologists by automatically processing CT images to create 3D models of the heart. It uses AI for automatic segmentation and visualization, helping clinicians better interpret cardiac anatomy for diagnosis and treatment planning.

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.

The Revolution Ascend Sliding is a CT X-ray system designed to generate detailed cross-sectional images of the body, including head, whole body, cardiac, and vascular areas. Uniquely, it features a gantry mounted on a transporter allowing linear movement on rails, improving patient workflow by enabling imaging and treatment procedures in the same room without moving the patient. It supports a range of acquisition modes and image processing features to aid clinicians in diagnosis and therapy monitoring.

The X-Guide Surgical Navigation System is an advanced computer-assisted navigation tool designed to assist dental surgeons during preoperative planning and intraoperative guidance of dental implants and endodontic access procedures. It integrates machine learning software to automatically process CT and intraoral scan images to segment anatomical structures and enhance surgical precision, improving patient safety and surgical outcomes.

QOCA® image Smart RT Contouring System is an AI-powered post-processing software designed to automatically outline organs at risk on CT scans. This helps radiation oncology clinicians efficiently prepare treatment plans by providing accurate organ contours as input data for radiation therapy, improving workflow and precision in treatment delivery.

HealthFLD is an AI-powered software that analyzes CT images of the liver to provide clinicians with quantitative and qualitative measurements of liver attenuation, aiding the assessment of fatty liver disease. It processes both non-contrast and contrast CT scans for adult patients and outputs liver density metrics to support clinical decision-making.

Viz HDS by Viz.ai is an AI-powered software that automatically labels, visualizes, and measures critical brain structures such as intracranial hyperdensities, lateral ventricles, and midline shift on non-contrast head CT scans. This automation helps radiologists quickly and accurately assess brain abnormalities by providing detailed volumetric data and annotated images, improving workflow and diagnostic efficiency.

Rapid ASPECTS (v3) is a software tool designed to assist clinicians in evaluating brain CT images for early ischemic stroke. It automatically analyzes certain brain regions to generate an ASPECT Score, which helps characterize ischemic damage. This tool supports radiologists by providing standardized, AI-derived scores and annotated images, facilitating accurate and consistent stroke assessment to inform treatment decisions.

NemoScan is a dental implant and surgery planning software that reads CT or CBCT medical images to simulate and evaluate patient anatomy, plan implant placement, and design surgical guides. It helps dental professionals prepare customized surgical plans and export guides for manufacturing, improving precision and treatment outcomes.

Fibresolve is a software device that analyzes lung CT images using deep learning to identify patterns suggestive of idiopathic pulmonary fibrosis. It provides a binary output to assist clinicians in diagnosing fibrotic lung disease, serving as an adjunct tool in the diagnostic workflow especially before invasive testing, helping to improve early detection and referral for appropriate clinical discussion.