FDA Radiology AI Devices

BriefCase-Triage is an AI-powered software designed to assist hospital networks and trained radiologists in identifying suspected pulmonary embolism cases from CT pulmonary angiography (CTPA) images. The software analyzes images in parallel with standard interpretation, flags potential positive findings, and notifies clinicians with compressed preview images for triage purposes, helping prioritize urgent cases and reduce turnaround times without replacing standard diagnostic workflows.

BriefCase-Triage by Aidoc Medical is an AI-powered software that analyzes CT pulmonary angiography images to detect suspected cases of Central Pulmonary Embolism. It provides notifications and low-quality preview images to assist trained clinicians in prioritizing urgent cases, helping speed up patient care without replacing the standard diagnostic process.

BriefCase by Aidoc Medical is an AI-powered software that analyzes CTPA images to detect suspected Pulmonary Embolism cases and notifies clinicians via a desktop application to prioritize these potentially critical cases. It works alongside the standard image interpretation process, helping healthcare professionals triage faster and improve patient care 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 by Aidoc Medical, Ltd. is an AI-powered software that analyzes contrast-enhanced chest CT scans to detect incidental pulmonary embolism. The software notifies radiologists of suspected positive cases via a desktop application, helping prioritize urgent cases for faster review without replacing the standard diagnostic process. It supports workflow improvements by flagging cases early, potentially saving hours in time to examination.