FDA Radiology AI Devices

JLK-ICH is an AI-powered software that analyzes non-contrast CT scans of the head to detect suspected intracranial hemorrhage. It provides automated notifications to clinicians to prioritize review, allowing faster communication and potentially improving patient outcomes. The software works alongside standard care without replacing diagnostic evaluations.

SpineAR SNAP is a software device that helps surgeons plan and perform spinal implant surgeries more accurately by transforming traditional 2D medical images into interactive 3D visualizations. It supports pre-operative planning on screens and virtual reality, as well as intra-operative guidance using augmented reality headsets like HoloLens2 and Magic Leap 1. This technology provides enhanced visualization and guidance, improving surgical precision while allowing the surgeon to maintain focus on the surgical field.

BriefCase-Triage by Aidoc Medical, Ltd. is an artificial intelligence software that analyzes CT scans including the ribs to identify suspected acute rib fractures. It alerts clinicians with notification and preview images to help prioritize cases for faster review, aiding workflow triage without altering original images or serving as a diagnostic tool. This helps radiologists address urgent findings more efficiently.

The EFAI Neurosuite CT Midline Shift Assessment System (MLS-CT-100) is an AI-powered software tool that analyzes non-contrast head CT images to identify signs of midline shift. It assists radiologists by flagging cases that may need urgent attention, helping prioritize patient care without altering original images or making direct diagnostic decisions.

CT Collaboration Live is a software application integrated into Philips CT systems that enables real-time remote communication for consultation, training, and support via chat, audio/video calls, screen sharing, and remote control. It facilitates collaboration between CT system operators and remote clinical users but is not intended for remote diagnostic image review.

VUNO Med-Chest X-ray Triage/VUNO Med-CXR Link Triage is an AI-based software tool that analyzes adult chest X-rays to detect critical conditions such as pleural effusion and pneumothorax. It prioritizes cases in the clinical workflow by providing passive notifications in the radiologist's PACS or workstation, helping healthcare professionals manage urgent cases efficiently. The software supports DICOM and common image formats and is intended to assist rather than replace clinical decision-making.

BriefCase-Triage is an AI-powered software designed to analyze CT scans of the cervical spine in adults, helping hospital networks and medical specialists by flagging potential fractures. It provides notifications and preview images of suspected cases, enabling faster prioritization of urgent findings to improve clinical workflow and patient care, while not altering original diagnostic images.

JBS-LVO is an AI-powered radiological software tool designed to analyze CT angiograms of the brain to detect suspected large vessel occlusions (LVOs). It notifies neurovascular specialists quickly via mobile app notifications to aid in rapid patient triage, supporting timely treatment decisions. The software provides compressed preview images for informational purposes, while diagnosis is made by specialists reviewing full-resolution scans.

uAI Easy Triage ICH is an AI-powered software designed to assist radiologists by analyzing non-contrast head CT images to detect suspected intracranial hemorrhage (ICH). It helps prioritize and triage cases by flagging images that show possible bleeding in the brain, ensuring faster notification and workflow efficiency in hospital settings.

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.