FDA Radiology AI Devices

BriefCase by Aidoc Medical is an AI-powered software that analyzes non-enhanced head CT images to identify potential intracranial hemorrhage. It assists clinicians by flagging suspect cases and sending notifications with preview images to help prioritize patient care workflow. It operates alongside standard imaging interpretation without altering original medical images.

Rapid PE Triage and Notification (PETN) is an AI-powered software that analyzes CT pulmonary angiography scans to detect and notify clinicians of suspected central pulmonary embolism cases. It assists hospital networks and clinicians by prioritizing patient workflows and flagging positive findings, helping improve timely diagnosis and treatment without altering original medical images.

BriefCase by Aidoc Medical, Ltd. is an AI-powered software that analyzes contrast-enhanced chest CT scans to help hospital specialists prioritize and triage cases showing possible incidental Pulmonary Embolism. It provides notifications with compressed preview images for early attention but does not replace standard diagnostic review, working alongside existing workflows to speed up urgent case identification.

BriefCase is an AI-powered software that analyzes head CT Angio (CTA) images to assist clinicians by flagging suspected Brain Aneurysm cases above 5 mm, helping prioritize urgent cases and improving workflow efficiency. It provides notifications and preview images but is not intended for primary diagnosis, supporting clinicians to review images faster and potentially reduce time to treatment.

syngo.CT Brain Hemorrhage is an AI-driven software that assists radiologists by analyzing non-contrast head CT scans to prioritize cases suspicious for acute intracranial hemorrhage. It flags findings to improve workflow efficiency by enabling faster review of urgent cases but is not intended for standalone diagnosis.

StrokeSENS LVO is software that uses AI to analyze CT angiograms of the head to identify suspected large vessel occlusions, which can cause strokes. It assists healthcare providers by flagging potential LVO cases and sending notifications to specialists in near real-time, helping prioritize urgent cases and improve workflow efficiency. The software does not alter the original images and is intended to be used alongside existing diagnostic workflows.

InferRead CT Stroke.AI is an AI-powered software that helps hospitals and radiologists prioritize head CT scans by flagging suspected intracranial hemorrhage cases. It analyzes CT images using a deep learning algorithm and highlights potential emergency cases on a worklist, assisting clinicians in faster triage. The software operates alongside standard radiology workflows without altering images or removing cases, improving efficiency in detecting brain hemorrhages.

HALO is an AI-powered notification software that analyzes brain CT angiograms to detect signs of suspected intracranial Large Vessel Occlusion (LVO). It helps clinicians by promptly notifying appropriate medical specialists to facilitate quicker evaluation and treatment of stroke patients, improving emergency care and patient outcomes.

CINA CHEST is an AI-powered software that analyzes chest and thoraco-abdominal CT angiography scans to detect signs of pulmonary embolism and aortic dissection. It helps radiologists prioritize cases by flagging suspected positive findings through notifications, thereby improving workflow efficiency and timely patient care. The tool works alongside standard image interpretation without altering original images and is not intended for diagnosis alone but as an aid for faster triage.

Viz ICH is an AI-powered software tool that analyzes non-contrast CT brain images to detect suspected intracranial hemorrhages. It sends notifications to neurovascular or neurosurgical specialists to facilitate earlier patient review and intervention. The software is integrated with a mobile application for previewing images and managing notifications, though image previewing is non-diagnostic and full diagnosis relies on standard clinical evaluation.