FDA Radiology AI Devices

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.

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.

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.

Lunit INSIGHT DBT v1.1 is an AI-powered software designed to assist physicians in detecting and characterizing suspicious breast lesions in digital breast tomosynthesis exams. It marks regions of potential cancer with abnormality scores to aid diagnosis, improving clinical workflow for breast cancer screening in women.

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.

VitruvianScan (v1.0) by Perspectum Ltd is a software medical device designed to analyze MRI images to generate quantitative metrics and composite images for evaluating body fat and muscle composition. It assists trained healthcare professionals by providing non-invasive diagnostic information that supports clinical decisions regarding patient health and wellness.

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.

MammoScreen BD is an AI-powered software that helps radiologists evaluate breast tissue density in mammograms and digital breast tomosynthesis. It provides breast density categories based on established ACR BI-RADS standards. The tool offers supplementary information to aid radiologists in assessing breast density, supporting better screening decisions for women aged 40 and older. It processes DICOM images and integrates with clinical systems to assist interpretation without replacing physician judgment.

MuscleView is an AI-powered software that automatically segments muscles and bones in MRI scans of the lower limbs. It calculates useful metrics such as muscle and bone volume, fat infiltration, and asymmetry to assist physicians in analyzing musculoskeletal health. The segmentations need to be reviewed and edited by trained clinicians. This tool helps improve the efficiency and accuracy of muscle and bone analysis from MRI images but is not intended for diagnostic use of diseases.

LungVision is an AI-powered software system that helps clinicians navigate tools within the lungs during procedures. It combines previously acquired 3D CT images with real-time fluoroscopic X-ray images to provide detailed guidance for targeting lung lesions, thus enhancing the precision of pulmonary interventions.