FDA Radiology AI Devices

AI Rad Companion (Engine) by Siemens Medical Solutions is a software platform designed to assist technicians and physicians in viewing, processing, and analyzing medical images from multiple modalities. It supports integration with PACS systems and allows external AI-based post-processing extensions, improving clinical image analysis and workflow.

The Study Watch by Verily Life Sciences LLC is a wearable ECG monitoring device that records and securely transmits single-channel ECG waveforms. It assists healthcare professionals in tracking heart rhythms of adult patients with known or suspected heart conditions by enabling remote ECG data collection and review via a web portal.

Embrace is a wearable device worn on the wrist that monitors physiological signals such as Electrodermal Activity, motion, and temperature to detect generalized tonic clonic seizures in patients with epilepsy. It helps alert caregivers by sending notifications during seizure events, assisting in timely monitoring and care for patients both at home and in healthcare facilities.

Centricity Universal Viewer by GE Healthcare is a medical imaging software solution designed to display, manage, analyze, and share medical images from multiple imaging modalities. It facilitates radiologists and cardiologists in interpreting diagnostic images, improving workflow and clinical decision-making. It supports many imaging formats but is not intended for digital pathology diagnosis. The product enhances clinicians' ability to view and interpret images efficiently across healthcare systems.

The AI-ECG Platform by Shenzhen Carewell Electronics is an AI-powered software that assists healthcare professionals in measuring and interpreting 12-lead resting electrocardiograms (ECGs). It automatically analyzes ECG data, provides diagnostic interpretations for common cardiac abnormalities, and enables physicians to review and modify results. This helps clinicians make more informed cardiac assessments in hospitals and healthcare facilities.

icobrain is an AI-powered software that automates the identification, labeling, and volume measurement of brain structures from MR and CT images. It assists clinicians in evaluating brain conditions such as dementia and traumatic brain injury by providing detailed volumetric reports and visual overlays, improving the efficiency and accuracy of brain image analysis.

Arterys MICA is a software platform designed to display, process, store, and transfer medical imaging data, including CT and MR images. It features modules specialized for cardiac and oncology workflows, providing quantitative analysis to aid clinicians in diagnosis. The software runs on standard computers via a web browser and supports enhanced image viewing and lesion evaluation for clinical decision support.

Ziostation2 is an advanced medical image processing software that supports multiple imaging modalities including CT, MRI, Ultrasound, and X-ray. It helps clinicians view and analyze medical images by providing tools for image quantification, manipulation, and communication. This software is designed to enhance the workflow and diagnostic process for radiologists and other trained medical professionals.

The Zio AT ECG Monitoring System and its ZEUS System component are used for long-term cardiac monitoring by capturing continuous ECG data and analyzing it with AI algorithms to detect arrhythmias. The system helps clinicians by automatically detecting and reporting symptomatic and asymptomatic cardiac events, allowing improved cardiac care and diagnostics.

Quantitative Total Extensible Imaging (QTxI) is a software tool that helps medical professionals manage and evaluate digital medical images from CT and PET scans. It supports tasks such as storing, retrieving, and displaying images, as well as identifying and analyzing regions of interest (ROIs) in full or partial body scans with 3D visualization. This software aids clinicians by automating quantification and monitoring changes in imaging data to improve diagnostic and treatment decision workflows.