FDA Radiology AI Devices

EchoPAC Software is a tool developed by GE Medical Systems that processes ultrasound images to assist clinicians in analyzing echocardiography data. It helps in improving workflow efficiency and accuracy in cardiac ultrasound interpretation.

EchoConfidence (USA) is an AI-powered software that helps clinicians analyze transthoracic echocardiogram images. It automatically classifies views, segments cardiac structures, measures cardiac function, and performs Doppler assessments, improving the efficiency and accuracy of cardiac image interpretation for adults and adolescents.

PIUR tUS inside is a medical device that enhances standard 2D ultrasound devices by generating three-dimensional (3D) tomographic ultrasound volumes of the thyroid. It assists physicians in diagnosing thyroid nodules by providing volumetric information, segmentation, and quantification of sonographic characteristics. This device operates directly on compatible ultrasound scanners, integrating sensor data to create 3D images that support clinical decision-making as an add-on to regular ultrasound imaging.

BrightHeart View Classifier is a cloud-based AI-powered software designed to analyze 2D fetal ultrasound images and video clips to automatically identify and classify standard fetal heart views. It assists trained healthcare professionals in acquiring and interpreting fetal heart ultrasound exams in the second and third trimesters by providing annotated outputs and validating whether scanning protocols are met, improving diagnostic workflow and consistency.

Clarius Median Nerve AI is a machine learning-based software integrated with the Clarius Ultrasound Scanner system. It automatically segments the median nerve and measures its cross-sectional area in ultrasound images of the wrist and forearm. This tool assists trained healthcare professionals by providing semi-automated measurements to support clinical assessment in musculoskeletal ultrasound imaging, improving efficiency and accuracy while allowing manual adjustments.

BrightHeart View Classifier is an AI-powered software that automatically analyzes fetal ultrasound images and video clips to identify standard views of the fetal heart during scans. It helps healthcare professionals by improving the acquisition and interpretation of fetal heart ultrasound exams, making fetal heart imaging more efficient and consistent.

The UltraExtend NX CUW-U001S V2.0 Ultrasound Image Analysis Program by Canon Medical Systems Corporation is software designed to help physicians analyze and observe images from ultrasound examinations. It supports data from specific diagnostic ultrasound systems and includes AI-enabled features for advanced cardiac motion tracking and measurement, aiding clinical decision-making in hospital and clinical settings.

Clarius Prostate AI is an AI-powered ultrasound software tool integrated into the Clarius Ultrasound Scanner system. It assists qualified healthcare professionals by automatically detecting, segmenting, and measuring prostate volume in ultrasound images, helping to streamline clinical workflow and improve prostate assessment accuracy while allowing manual adjustments. It is intended for adult male patients and supports prostate imaging with curvilinear and endo-cavitary scanners.

The LVivo Software Application is an AI-based software platform that automates the analysis of ultrasound images, primarily to evaluate heart-left ventricle function and bladder volume. It helps clinicians by automatically detecting and calculating important medical parameters, improving diagnostic accuracy and efficiency in cardiology and related fields.

LVivo Seamless is a software platform designed to automatically process echocardiogram ultrasound images to detect, measure, and calculate important cardiac medical parameters. It helps clinicians by selecting the appropriate image clips and activating AI modules to evaluate ejection fraction (EF) and global longitudinal strain (GLS), improving workflow and providing quantitative cardiac function data for better diagnosis and monitoring.