FDA Radiology AI Devices

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.

RAYDENT SW is software that helps dental professionals plan treatments and design orthodontic and prosthetic devices by using 3D imaging data and simulations. It assists in creating treatment plans and designing devices such as clear aligners, crowns, veneers, and bridges, improving precision and efficiency in dental care.

BriefCase-Quantification is an AI-powered software that analyzes CT scans of the abdominal aorta to measure its maximum diameter. It helps trained medical specialists by providing preliminary diameter measurements to assist with evaluating normal and aneurysmal abdominal aortas, improving the efficiency of radiological assessments. The software is cloud-based, processes images from DICOM format, and integrates output with PACS for clinician review.

Heuron ICH is an artificial intelligence software that assists medical specialists by analyzing non-contrast head CT images to identify suspected cases of intracranial hemorrhage. It provides notifications and compressed preview images to help prioritize patient care and streamline workflow, without modifying the original images or serving as a diagnostic device.

SmartChest is an AI software that analyzes frontal chest X-rays to detect suspected pleural effusion and pneumothorax. It helps radiologists by prioritizing cases with critical findings in their worklists, improving workflow efficiency. The software passively notifies the radiologist without replacing clinical decision-making.