FDA Radiology AI Devices

The Swoop Portable MR Imaging System by Hyperfine, Inc. is a bedside portable MRI device designed to produce internal head images using magnetic resonance imaging. It allows clinicians to perform imaging at the point of care when full diagnostic exams are not practical. Its AI-enabled reconstruction algorithm enhances image quality by reducing noise and blurring for multiple MRI sequences, helping physicians with diagnosis.

cvi42 Auto Imaging Software Application is an AI-powered medical imaging software designed to assist clinicians in evaluating cardiovascular MR and CT images. It uses machine learning to semi-automatically contour cardiac structures, perform calcium scoring, and analyze coronary arteries, aiding in diagnosis and quantitative assessment of heart and vessel conditions.

DeepRhythmAI is a cloud-based AI software that automatically analyzes two-lead ECG data to detect cardiac arrhythmias. It supports healthcare professionals by providing analysis results that need to be reviewed and confirmed. It is designed for integration into other medical devices or software platforms and assists clinicians in identifying rhythm issues in adult patients.

Viz SDH is an AI-driven software designed to analyze non-contrast CT scans of the head to detect subdural hemorrhages. It provides rapid notifications of suspected cases to neurovascular or neurosurgical specialists through a mobile application, improving workflow efficiency and potentially expediting patient care decisions. The system does not replace diagnostic evaluation but serves as a parallel workflow triage tool to alert specialists early.

AI4CMR v1.0 is a software tool that uses artificial intelligence to automatically analyze cardiac MRI scans to measure cardiac function parameters like ventricle volumes and ejection fraction. It helps clinicians by providing automated quantification of cardiac metrics from MR images, improving workflow efficiency and supporting clinical decisions when integrated into a DICOM viewer.

The Vivid E80, Vivid E90, and Vivid E95 are advanced diagnostic ultrasound systems designed primarily for cardiac imaging but also applicable to vascular and general radiology. These systems use ultrasound technology to capture, process, and analyze images of the human body, aiding clinicians in precise measurements and display of ultrasound data. They include features such as 3D imaging, Doppler modes, and AI-assisted tools like Easy Auto EF and Easy AFI LV for enhanced image analysis, improving workflow and diagnostic accuracy for healthcare professionals.

EchoPAC Software Only / EchoPAC Plug-in is a software platform designed for diagnostic review, analysis, and reporting of ultrasound images. It allows post-processing of raw data from GE ultrasound scanners and DICOM ultrasound images, supporting multiple clinical applications like fetal, cardiac, abdominal, and musculoskeletal imaging. The software helps clinicians manage patient records and generate detailed reports efficiently.

Libby Echo:Prio is a software tool that processes DICOM-compliant cardiac ultrasound images to provide automated measurements and analysis of cardiac function, such as ejection fraction and heart rate. It supports cardiologists and sonographers by automating view classification, border segmentation, and generating quantification reports, thus aiding clinical decision-making in cardiac care.

The ZEUS System (Zio Watch) is a prescription-based wearable device and software system that uses AI to analyze cardiac signals from an ECG and PPG sensor to detect and report atrial fibrillation. It provides clinicians with detailed reports to aid in diagnosing and managing atrial fibrillation in adult patients.

The Study Watch with Irregular Pulse Monitor by Verily Life Sciences is a wearable device designed for adults diagnosed with or at risk for atrial fibrillation (AF). It continuously monitors heart rhythms using photoplethysmography (PPG) and single-channel ECG measurements. The device notifies users of irregular pulses, prompting ECG collection, and securely transmits data for healthcare provider review. This aids early detection and monitoring of AF, enabling timely clinical intervention.