uAI EasyTriage-Rib
Overview
uAI EasyTriage-Rib is a radiological computer-assisted triage and notification software device designed for the analysis of CT chest images. It leverages an artificial intelligence deep learning algorithm to identify and highlight studies with suspected multiple (three or more) acute rib fractures. The device is intended to assist hospital networks and trained radiologists in workflow triage by flagging and prioritizing trauma studies, thereby optimizing efficiency in managing high-volume imaging workloads. It operates in parallel to the standard of care, providing notifications with compressed preview images for informational purposes only. The uAI EasyTriage-Rib does not alter the original medical images and is not intended to be used as a diagnostic device; diagnostic decisions remain the responsibility of the notified radiologists.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Radiological computer-assisted triage and notification software
- Analyzes CT chest images
- Flags and prioritizes trauma studies
- Detects suspected multiple (3 or more) acute rib fractures
- Utilizes an artificial intelligence deep learning algorithm
- Provides notifications with compressed preview images for triage purposes
- Operates in parallel to the standard of care
- Does not alter original medical images
- Not intended for diagnostic use beyond notification
- Achieved 92.7% sensitivity and 84.7% specificity for detecting multiple rib fractures in a retrospective study
Use Cases
- Workflow triage in hospital networks
- Prioritization of trauma studies with suspected rib fractures
- Assisting radiologists in managing high-volume imaging workloads
- Enhancing efficiency in emergency departments for trauma cases
What Physicians Need to Know
uAI EasyTriage-Rib is a triage and notification tool, not a diagnostic device; final diagnostic decisions remain the radiologist's responsibility. Leverage its rapid notification (average ~70 seconds) to prioritize trauma cases with suspected multiple acute rib fractures, potentially improving turnaround times for critical findings. Be aware that notifications include compressed preview images for informational purposes only, not for diagnostic use. The tool operates in parallel to your standard workflow, acting as an intelligent assistant to flag high-priority studies.
The system integrates by receiving DICOM data from PACS and delivers notifications through a dedicated Studylist Application on the radiologist's workstation. This setup ensures a parallel workflow, meaning the AI analysis runs concurrently with standard image interpretation without interrupting existing PACS or RIS operations. Ensure proper network configuration for efficient DICOM data transfer to the uAI EasyTriage-Rib Server and seamless notification delivery to workstations.
Details
| Category | Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Not disclosed — Not disclosed |
| Deployment | On-premise (server module and user interface application) or vendor-hosted cloud. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated uAI EasyTriage-Rib received FDA 510(k) clearance (K193271) on January 15, 2021, as a radiological computer-assisted triage and notification software device for analysis of CT chest images. It is intended to assist hospital networks and trained radiologists in workflow triage by flagging and prioritizing trauma studies with suspected positive findings of multiple (3 or more) acute rib fractures. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Radiology |
What the Web Says
uAI EasyTriage-Rib is an AI-powered software designed to assist radiologists in prioritizing CT chest images with suspected multiple (three or more) acute rib fractures. It functions as a radiological computer-assisted triage and notification device, aiming to improve workflow efficiency by flagging time-critical cases. The software analyzes images using an artificial intelligence algorithm and highlights studies for prioritization, working in parallel with standard care rather than as a standalone diagnostic tool.
Overall: PositiveStrengths
- High sensitivity in detecting multiple acute rib fractures (92.7% in one study, 90.91% in another).
- High specificity in identifying cases without multiple acute rib fractures (84.7% in one study, 76.21% in another).
- Significantly improves radiologists' reading efficiency.
- Rapid notification time (average of 69.56 seconds for positive findings).
- Assists in workflow triage by flagging and prioritizing trauma studies.
- Performance is comparable to or better than physicians in detecting rib fractures.
Limitations
- Not intended for diagnostic use; radiologists are responsible for the final diagnosis.
- Specificity can decrease when distinguishing acute from chronic rib fractures.
- Notifications include compressed preview images that are for informational purposes only and not for diagnostic use.
- One study noted a decrease in specificity when acute fractures were the target condition due to the difficulty in distinguishing them from chronic fractures.
- Limited information available from independent tech reviewers, Reddit, G2, or Capterra.
- Some AI solutions have shown a decline in performance when evaluated on external data.
Based on reviews from: accessdata.fda.gov, Oxford Academic, vertexaisearch.cloud.google.com, MDPI, JMIR Medical Informatics, PLOS One, Health AI Register
Last updated: 2026-07-19
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