FDA Radiology AI Devices

Saige-Q is a software tool that analyzes digital breast mammograms using artificial intelligence to identify exams that may contain suspicious findings suggestive of breast cancer. It helps radiologists prioritize these exams in their worklist, enabling faster review of potentially concerning cases. The tool provides passive notification codes but does not provide diagnostic decisions and supports both full-field digital mammography and digital breast tomosynthesis images.

BriefCase for RibFx is an AI-powered software that assists medical specialists by analyzing chest CT scans to identify and flag cases with three or more acute rib fractures. It provides notifications and low-quality preview images on a desktop application, helping radiologists prioritize and review urgent cases sooner, thereby improving workflow efficiency and patient care.

The uAI EasyTriage-Rib is a software tool that uses artificial intelligence to analyze CT chest images and help radiologists prioritize trauma cases with suspected multiple acute rib fractures. It assists in workflow triage by flagging cases with suspected findings, allowing faster and more efficient patient management without altering the original medical images or making diagnoses itself.

HealthMammo is an AI-enabled software tool designed to analyze 2D full-field digital mammograms to identify and flag suspicious findings. It assists radiologists by prioritizing mammogram cases in the PACS/worklist, helping clinicians review critical cases faster and improve workflow efficiency without replacing diagnostic evaluation.

HealthVCF is a software solution that uses artificial intelligence to analyze chest and abdominal CT scans to detect suspected vertebral compression fractures. It helps clinicians prioritize these cases for review within bone health programs by flagging them in a dedicated workstation application without interfering with the standard radiology workflow. The product aims to improve the speed of identifying at-risk patients but does not provide a diagnosis itself.

AIMI-Triage CXR PTX by RADLogics is an FDA-cleared AI software that helps hospital radiologists prioritize adult chest X-rays that might show moderate to large pneumothorax. It analyzes chest X-rays and flags urgent cases for quicker review, improving workflow and patient care by notifying radiologists of possible urgent findings without replacing full diagnosis.

The Behold.ai Red Dot device is an AI-powered software platform that assists radiologists by automatically analyzing adult chest X-ray images to identify suspected pneumothorax cases. It integrates into clinical workflows by notifying radiologists through PACS or workstation systems to prioritize these cases for faster review. It is intended to support, but not replace, clinical decision-making.

HealthCXR is a software tool that uses artificial intelligence to analyze adult chest X-ray images for signs of pleural effusion, a condition where fluid accumulates around the lungs. It automatically alerts radiologists by prioritizing critical cases in their worklists, helping them to review urgent scans faster. The software operates alongside the standard care workflow and does not provide a diagnosis on its own, but assists clinicians in managing their caseload more efficiently.

Critical Care Suite is an AI-powered software by GE Medical Systems designed to analyze frontal chest X-ray images and detect pneumothorax, a potentially life-threatening condition. It flags suspicious images in the image management system to help radiologists prioritize urgent cases, improving workflow efficiency and patient care. The software runs seamlessly without delaying image processing and helps reduce the report turnaround time for critical chest X-rays.

HealthPNX by Zebra Medical Vision Ltd. is an AI-powered software that analyzes chest X-rays to identify suspected pneumothorax cases. It helps radiologists prioritize urgent cases by providing passive notifications on their PACS worklist, reducing triage time and potentially improving patient care efficiency. It does not modify images or provide diagnostic decisions independently but supports clinical assessment workflows.