FDA Radiology AI Devices

The RS85 Diagnostic Ultrasound System by Samsung Medison is a versatile diagnostic ultrasound device used in a variety of clinical applications such as obstetrics, abdominal, cardiac, musculoskeletal, and peripheral vessel imaging. It provides multiple imaging modes including 2D, Doppler, and 3D/4D imaging and incorporates AI technology for nerve detection and segmentation to aid clinicians in diagnosis and procedures. This system helps healthcare professionals obtain high-quality ultrasound images and quantitative analysis to improve patient care.

The Cardiac CT Function Software Application by Circle Cardiovascular Imaging is a software tool that assists medical professionals in analyzing cardiac function from multi-phase, multi-slice cardiovascular CT angiography images. It uses AI to segment cardiac structures and compute key function metrics such as volume and ejection fraction, helping clinicians evaluate heart function more accurately and efficiently.

The EFAI Bonesuite XR Bone Age Pro Assessment System (BAP-XR-100) is software that uses deep learning to analyze left-hand X-ray images in pediatric patients aged 2 to 16 years. It estimates bone age to assist pediatric radiologists in clinical decision-making. The system integrates with existing PACS workflows, providing bone age assessments to support but not replace radiologist interpretation.

CINA-VCF is an AI-powered software device designed to analyze chest and abdominal CT scans in patients aged 50 and above to identify suspected vertebral compression fractures. It operates alongside standard imaging workflows to prioritize and notify clinicians of potentially positive cases, helping improve triage speed and efficiency without altering original images or serving as a diagnostic tool itself.

The uPMR 790 by Shanghai United Imaging Healthcare Co., Ltd. is a combined PET and MRI system that simultaneously captures high-resolution metabolic and anatomical images of the body to assist clinicians in diagnosis. It includes advanced AI-based image reconstruction and processing techniques, like DeepRecon for denoising and ACS for accelerated image reconstruction, improving image quality and scan efficiency without radiation exposure from MRI. This helps healthcare providers better assess physiological and anatomical conditions in patients.

LVivo IQS is an AI-powered platform designed to analyze ultrasound images of the heart, specifically providing real-time quality scoring of right ventricle images from the 4-chamber apical view. This software helps clinicians by automatically detecting, measuring, and calculating important cardiac parameters and providing feedback on image quality, enhancing the reliability and interpretability of ultrasound examinations.

Syngo Carbon Enterprise Access (VA40A) is a software-only medical device developed by Siemens Healthcare GmbH for use in healthcare institutions. It provides an enterprise-wide web application to display and render DICOM and non-DICOM medical data, supporting image and result distribution for diagnostic use by trained medical professionals. The software facilitates standardized data access without controlling image acquisition and enhances clinical workflows with a user-friendly interface. It does not include automated diagnostic functions but supports quality display and management of medical images and documents.

VinDr-Mammo is a software tool designed to assist radiologists in prioritizing mammogram exams by flagging those that may contain suspicious findings. It analyzes 2D digital mammograms using artificial intelligence to identify potentially concerning cases and alerts radiologists, enabling more efficient workflow and faster patient care. It does not replace the physician's final diagnosis.

YSIO X.pree is a digital stationary X-ray system designed to create X-ray images of various body parts including the skull, chest, abdomen, and extremities. It helps medical professionals visualize anatomical structures to support diagnosis and treatment. The system features updated software, new wireless detectors, and AI-based functions like auto-cropping and automatic collimation to improve image quality and ease of use.

uOmnispace.CT is a comprehensive medical image management and processing software mainly for CT images, developed by Shanghai United Imaging Healthcare. It provides various AI-driven analysis tools including lung nodule detection, brain perfusion analysis, cardiovascular and liver evaluations, and more. This software supports clinical interpretation, visualization, and quantitative assessment, helping clinicians diagnose and plan treatments more efficiently across multiple organ systems.