SmartChest
Overview
SmartChest by Milvue is a radiological computer-assisted triage and notification software designed to analyze frontal chest X-ray images (Postero-Anterior (PA) or Antero-Posterior (AP)). It targets transitional adolescents (18-21 years old, treated as adults) and adults (≥22 years old) for the presence of suspected pleural effusion and/or pneumothorax. The software utilizes an artificial intelligence algorithm to identify features suggestive of critical findings and provides case-level output. This output is made available to a PACS (Picture Archiving and Communication System) or other DICOM storage platforms for worklist prioritization. SmartChest functions as a passive notification tool for prioritization only within the standard of care workflow and does not send proactive alerts directly to a medical specialist. Its results are not intended to direct attention to a specific portion of an image or to be used on a stand-alone basis for clinical decision-making.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Radiological computer-assisted triage and notification
- Analyzes frontal chest X-ray images (PA/AP)
- Detects suspected pleural effusion
- Detects suspected pneumothorax
- Provides case-level output for PACS worklist prioritization
- Utilizes AI algorithms for critical findings detection
- Passive notification for prioritization-only
- Cloud-based, hybrid, or locally virtualized deployment options
- Automatic analysis triggered after image acquisition
- Processing time of 1-10 minutes
Use Cases
- Prioritizing chest X-ray interpretations in emergency departments
- Streamlining radiology workflow for faster review of critical cases
- Reducing diagnostic errors in emergency settings
- Improving patient management by reducing waiting times for critical diagnoses
- Supporting radiologists and emergency physicians in interpreting chest X-rays
- Automating initial screening of chest X-rays for specific pathologies
What Physicians Need to Know
SmartChest is a valuable tool for prioritizing urgent chest X-ray cases, but it is crucial to remember that it is a triage and notification system, not a standalone diagnostic solution. Always perform a comprehensive interpretation of all images, regardless of AI flagging, as the final diagnosis rests with the physician. The AI provides case-level output and does not highlight specific areas on an image. Leverage the AI-enhanced images with annotated findings to streamline your workflow and focus on critical cases, potentially reducing diagnostic errors and patient waiting times.
SmartChest offers flexible integration into existing radiology workflows, supporting standard DICOM and HL7 protocols. It can connect directly with PACS and other DICOM storage platforms, delivering results as a new DICOM series for seamless worklist prioritization. Deployment options include cloud, hybrid, or on-premise virtualized solutions. Milvue's active participation in IHE Connectathons and triple IHE certification for its TechCare Alert solution (part of the Milvue Suite) underscore its commitment to robust and interoperable integrations within healthcare IT environments.
Details
| Category | Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing |
Subscription
|
| Deployment | Cloud-based, Hybrid solution, Locally virtualized (virtual machine, Docker) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated SmartChest received FDA 510(k) clearance (K232410) on May 10, 2024. It is classified as radiological computer-assisted prioritization software for lesions, specifically for detecting suspected pleural effusion and/or pneumothorax in frontal chest X-ray images for worklist prioritization. |
| Integrations | |
| EHR | Not specified |
| Specialties | Critical Care, Emergency Medicine, Radiology |
What the Web Says
SmartChest, developed by Milvue, is an AI-powered platform designed to analyze emergency chest X-rays in real-time. It aims to optimize radiology workflows by detecting critical findings like pneumothorax, pleural effusion, and fractures, and prioritizing cases for radiologists. Studies suggest it can significantly reduce report turnaround times for critical findings and improve diagnostic accuracy, particularly when used as a second reader alongside human radiologists.
Overall: MixedStrengths
- Significantly reduces report turnaround times for critical findings.
- Detects fractures, dislocations, and key chest pathologies with high sensitivity (e.g., 96% for fracture detection in one study).
- Provides triage alerts in under 30 seconds with color-coded prioritization.
- Can improve radiologists' diagnostic performance and reduce false negatives when used as an assistive tool.
- Generates structured orthopedic measurements and reports, integrating directly into PACS.
- CE-MDR Class IIa certified and installed in over 100 hospitals across Europe and the Middle East.
Limitations
- AI algorithms alone may be limited in complex cases and cannot synthesize clinical information like radiologists.
- Radiologists have been shown to outperform AI algorithms in diagnosing lung diseases on chest X-rays in some studies.
- Positive predictive values (PPV) for AI algorithms can be lower than for radiologists in certain conditions (e.g., 56-86% for pneumothorax vs. 96% for radiologists).
- AI systems may misclassify findings, such as predicting airspace disease where none is present.
- SmartChest is a passive notification tool for prioritization only and not intended for standalone clinical decision-making or to direct attention to specific image portions.
- Some studies indicate that while AI accuracy can be higher than residents, residents may not change their final decisions after reviewing AI recommendations.
Based on reviews from: PMC, k2aimed.com, Diagnostic Imaging, AuntMinnie, Health AI Register, accessdata.fda.gov, MYAIRA, Radiology Today Magazine, AMG-Medtech Ltd
Last updated: 2026-07-18
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