The EFAI ChestSuite XR Pneumothorax Assessment System is an AI-powered software tool that helps clinicians prioritize chest X-ray cases suspected of pneumothorax. It uses deep learning to analyze posteroanterior chest X-rays and provides case-level notifications in the existing PACS/workstation workflow, facilitating faster identification and assessment of patients who may have pneumothorax. It supports clinical decision-making by aiding in triage but is not intended for stand-alone diagnosis.
EFAI PNXXR is a software workflow tool designed to aid the clinical assessment of adult (22 years of age or older) Posteroanterior (PA) view Chest X-Ray cases with features suggestive of pneumothorax in the medical care environment, using AI to identify suspected findings and making case-level output available to PACS/workstation for prioritization or triage. It does not direct attention to specific portions or anomalies and is not for stand-alone decision-making.
EFAI PNXXR is a radiological computer-assisted triage and notification software system using deep learning to automatically analyze chest PA X-rays and provide passive notification to PACS/workstation for prioritization of cases suspicious for pneumothorax. It does not mark specific image areas and runs on a specialized server within a local hospital IT network.
A blinded, retrospective multicenter study on 800 chest X-ray cases (182 positive for pneumothorax) demonstrated the device's high sensitivity (0.97), specificity (0.98), and AUC (0.99), comparable to the predicate device red dot™ (K191556). Testing included various X-ray manufacturers and confounding conditions, showing consistent and reliable performance within approximately 23 seconds per case.
No predicate devices specified
Submission
5/31/2022
FDA Approval
11/8/2022
Join hundreds of your peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.
We respect your privacy. Unsubscribe at any time.