FDA Radiology AI Devices

EchoMeasure by iCardio.ai is an AI-powered software that analyzes previously acquired cardiac ultrasound images to automatically measure key cardiac anatomical parameters. It assists cardiologists and healthcare professionals by providing accurate measurements for clinical decision-making, enhancing efficiency and supporting diagnostic review.

The EPIQ Series Diagnostic Ultrasound System by Philips is an advanced ultrasound imaging device that uses AI-powered software to aid clinicians in semi-automated quantification of heart valve function, specifically assessing the tricuspid valve and mitral valve regurgitation. This helps improve accuracy and efficiency in diagnosing cardiac conditions by providing detailed measurements and flow analysis from 3D ultrasound images.

The SpineUs™ System by Verdure Imaging is a diagnostic ultrasound platform designed to help trained chiropractors and radiologists acquire, view, segment, and measure spinal ultrasound images. It uses AI technology to automatically segment vertebral bone structures and provides 3D reconstructions and quantitative measurements such as intervertebral angles and spine curvature, aiding clinical evaluation of the spine in both hospital and clinic settings.

LVivo Software Application is an AI-powered software platform designed to automatically analyze ultrasound images of the heart and bladder. It calculates important functional and structural parameters of the heart's left and right ventricles and the bladder volume, helping clinicians with rapid and accurate assessments during routine echocardiographic exams and point-of-care settings.

EchoSolv AS is a cloud-based AI and machine learning decision support software designed to help cardiologists assess severe aortic stenosis (AS) from transthoracic echocardiogram data and patient demographics. It provides a categorical probability of severe AS to assist in diagnosis alongside clinical guidelines, improving identification accuracy and supporting patient management decisions during echocardiogram interpretation.

The Versana Premier, Versana Premier Lotus, and LOGIQ F are diagnostic ultrasound systems intended for use by trained healthcare professionals. They provide ultrasound imaging, measurement, display, and analysis for various body regions and clinical applications including fetal, abdominal, cardiac, vascular, musculoskeletal, and more, helping clinicians visualize and diagnose conditions through advanced ultrasound technology.

PIUR tUS Infinity is a computer-aided detection system that assists medical professionals by analyzing ultrasound images of the thyroid and thyroid nodules. It uses AI and machine learning algorithms to create 3D volume reconstructions from 2D ultrasound images, allowing quantification and visualization of thyroid nodules to aid diagnosis. The system integrates seamlessly with FDA-cleared ultrasound equipment and produces reports to support clinical decisions.

The Aplio i900/i800/i700 Diagnostic Ultrasound System, Software V7.0 by Canon Medical Systems Corporation is a high-quality ultrasound imaging device designed for use in diverse clinical applications, such as cardiac, abdominal, musculoskeletal, fetal, and small organs imaging. It provides advanced imaging modes including Doppler, Harmonic Imaging, Elastography, and AI-based improvements like Auto Plane Detection and Quick Strain to enhance workflow efficiency and diagnostic accuracy for clinicians.

FETOLY-HEART is a software tool that helps healthcare professionals during fetal ultrasound exams by automatically detecting key fetal heart views and assessing the quality of those views in real-time. It supports clinicians in ensuring a complete and accurate fetal heart examination, particularly in the second and third trimesters of pregnancy, improving diagnostic confidence and workflow efficiency.

See-Mode Augmented Reporting Tool, Thyroid (SMART-T) is an AI-powered software that assists medical professionals in analyzing thyroid ultrasound images by automatically localizing thyroid nodules and characterizing them using standardized descriptors based on ACR TI-RADS. It helps clinicians generate structured reports and improves accuracy in detection and classification of nodules, thereby supporting clinical decision-making in thyroid nodule management.