ChestView US
Overview
ChestView US by Gleamer SAS is an advanced artificial intelligence-powered Computer-Assisted Detection (CADe) software designed to assist radiologists and emergency medicine physicians in the interpretation of frontal and lateral chest X-rays. The tool leverages deep learning algorithms to automatically detect and highlight important findings, including pleural space abnormalities, lung nodules, mediastinum/hila abnormalities, and consolidation. It is intended as a concurrent reading aid, aiming to improve diagnostic sensitivity, reduce reading times, and optimize workflow. ChestView US also features automatic Cardiothoracic Ratio (CTR) measurement on posteroanterior (PA) chest X-rays for patients over 15 years old, supporting the detection of cardiomegaly. Additionally, its AutoReport feature can automatically generate patient reports based on findings, saving time and ensuring consistency. The software integrates seamlessly into existing clinical workflows, providing critical insights in seconds.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Detection and localization of pneumothorax
- Detection and localization of pleural effusion
- Detection and localization of consolidation
- Detection and localization of mediastinal or hilar mass
- Detection and localization of pulmonary nodule
- Triage and worklist prioritization
- Automatic Cardiothoracic Ratio (CTR) measurement
- AutoReport generation
- Deep learning algorithms for image analysis
- Concurrent reading aid
Use Cases
- Assisting radiologists in interpreting chest X-rays
- Enhancing diagnostic accuracy for chest pathologies
- Reducing reading times for chest radiographs
- Prioritizing urgent cases in radiology workflows
- Identifying early signs of lung cancer (e.g., nodules)
- Supporting emergency medicine physicians in rapid diagnosis
What Physicians Need to Know
ChestView US is a valuable 'diagnostic copilot' for chest X-ray interpretation, especially in busy emergency settings or for general radiologists. Leverage its automated detection of findings like nodules, pneumothorax, and pleural effusions to enhance diagnostic accuracy and reduce reading time. The AI-generated reports can streamline documentation. Remember it's an aid, not a replacement for clinical judgment, and is currently indicated for X-ray only. Pay attention to the highlighted regions of interest and the confidence levels provided by the AI.
ChestView US is designed for seamless integration into existing PACS and RIS environments, often facilitated by a DICOM Gateway or through AI marketplaces. It supports standard healthcare data protocols like DICOM, HL7, and FHIR for reporting. Deployment options include cloud-based or local GPU server setups, ensuring flexibility for various IT infrastructures. GleamerOS provides an orchestration layer for reliable routing of studies and results.
Details
| Category | Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Unknown |
| Deployment | Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated ChestView US received FDA 510(k) clearance (K241620) on February 27, 2025. It is cleared as a radiological Computer-Assisted Detection (CADe) software device for analyzing frontal and lateral chest radiographs to identify and highlight regions of interest such as nodules, pleural space abnormalities, mediastinum/hila abnormalities, and consolidation. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Radiology |
What the Web Says
Gleamer's ChestView US is an AI-powered software designed to assist radiologists and clinicians in detecting abnormalities on chest X-rays. It has received FDA 510(k) clearance and aims to improve diagnostic sensitivity, accuracy, and reduce interpretation time. Clinical studies have shown promising results, with increased detection rates for various pathologies and a significant reduction in reading time.
Overall: PositiveStrengths
- Increases diagnostic sensitivity for abnormalities like pneumothorax, pleural effusion, consolidation, and pulmonary nodules.
- Reduces chest X-ray reading time for radiologists and residents.
- Enhances image interpretation accuracy.
- Provides a computer-aided detection (CADe) model that simultaneously detects multiple pathologies and highlights abnormalities directly on images, improving explainability and confidence.
- Seamless integration and ease of adoption for healthcare providers, especially for existing users of Gleamer's BoneView.
- Potential to serve as a learning tool for radiology residents.
Limitations
- The absence of harmonized and internationally standardized frameworks for AI in radiology creates legal and ethical uncertainty.
- No specific negative reviews from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra were found for ChestView US.
- Limited information available from independent tech reviewers or user communities like Reddit, G2, or Capterra directly pertaining to ChestView US.
Based on reviews from: PMC, Diagnostic Imaging, BioWorld, ICE Magazine, accessdata.fda.gov
Last updated: 2026-07-18
Ratings & Reviews
No reviews yet. Be the first to review this tool!
Rate ChestView US
Press & Coverage
Videos
Product demos, reviews, and walkthroughs for ChestView US.
Frequently Asked Questions
Compare ChestView US
VS
VS
VS
VS
