ChestView US

by Gleamer  · Based in France → — Pioneering the future of medical imaging to provide better care for all
Emergency Medicine Radiology
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Regulatory Status Disclosed

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

DICOM Support & Standards
DICOM-compliant for seamless integration with existing imaging infrastructure.
PACS Integration Method
Integrated into existing PACS/RIS workflows, providing AI results directly within the radiologist's reading environment.
Reading Room Workflow Impact
Aids in prioritizing critical cases and reducing reading time, enhancing diagnostic accuracy and efficiency.
AI Model Architecture (deep learning approach)
Utilizes deep learning algorithms for the detection of abnormalities.
Supported Modalities (CT/MRI/X-ray/US)
X-ray
Sensitivity & Specificity Data
High sensitivity and specificity for detecting various pathologies, as demonstrated in clinical studies.
Physician Tip

ChestView US is designed to be a valuable second-read tool, helping to reduce missed findings and improve diagnostic confidence. It can be particularly useful in high-volume settings to prioritize urgent cases and streamline workflow. Always correlate AI findings with clinical context and patient history.

The solution is designed for straightforward integration into existing hospital IT infrastructure, including PACS and RIS, to ensure minimal disruption to current workflows. It operates as a background process, delivering results directly to the radiologist's workstation.

Details

Category Radiology & Imaging AI, Triage & ER/ICU AI
Pricing Unknown
DeploymentCloud
TrainingUnknown
Compliance
BAA AvailableUnknown
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
SOC 2 Yes AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Emergency Medicine, Radiology

Support & Reliability

Training ProvidedUnknown

What the Web Says

ChestView US by Gleamer is an AI-powered Computer-Assisted Detection (CADe) software designed to assist radiologists and emergency medicine physicians in analyzing frontal and lateral chest radiographs. It identifies and highlights regions of interest such as nodules, pleural space abnormalities, mediastinum/hila abnormalities, and consolidations. The software is intended as a concurrent reading aid and does not replace the role of medical professionals or other diagnostic testing.

Overall: Positive

Strengths

  • Aids in detecting multiple pathologies on chest X-rays.
  • Intended to reduce reading times for radiologists and emergency medicine physicians.
  • Utilizes machine learning techniques for identification and labeling of radiographic findings.
  • Integrates into existing radiology workflows, processing DICOM images and outputting annotated DICOM secondary captures.
  • FDA-cleared as a Class II medical device.
  • Continuously enhanced through algorithm improvements based on new data and clinical experience.

Limitations

  • No specific reviews found on Reddit, G2, or Capterra directly for ChestView US.
  • Does not replace the role of radiologists, emergency medicine physicians, or other diagnostic testing.
  • Indicated for adults only.
  • No clinical studies were conducted in support of the 510(k) submission for version 1.1.
  • Potential for alert fatigue, a recognized challenge in clinical decision support systems.

Based on reviews from: gleamer.ai, parikhradiology.com, researchgate.net, medaiverdict.com, aihealthindex.io, fda.gov, sectra.com, healthaidb.com, remio.ai, physicianaitools.com

Last updated: 2026-10-30

Ratings & Reviews

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Ease of Use
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Press & Coverage

gleamer.ai
Gleamer Receives FDA Clearance for ChestView, Revolutionizing Chest X-ray Interpretation with CADe in the U.S.
Gleamer announced that its ChestView solution received FDA clearance, marking a significant advancement in chest X-ray interpretation with a Computer-Aided Detection (CADe) model capable of simultaneously detecting multiple findings and highlighting regions of interest. This is Gleamer's second FDA clearance, following BoneView, and is expected to accelerate growth in the U.S. market.
2025-03
diagnosticimaging.com
FDA Clears Gleamer's ChestView AI Software for CXR
The FDA granted 510(k) clearance for ChestView, an AI-enabled software designed to enhance the detection of various abnormalities on chest X-rays. A 2023 study showed that using ChestView led to increased detection rates for pneumothorax, pleural effusion, and consolidation, and reduced CXR reading time.
2025-03
medaiexplorer.com
Navigating the Dual Regulatory Landscape: CE Marking vs. FDA Clearance for Radiology AI
Gleamer's ChestView US received FDA 510(k) clearance in February 2025, highlighting the complexities of navigating dual regulatory landscapes for AI in radiology. The article discusses the differences between CE marking under European regulations and FDA clearance in the U.S.
2025-03
nih.gov
Comparison of Gleamer ChestView versions 1.5.0 and 1.5.4 for the detection of thoracic findings on chest X-rays
A retrospective multicenter study compared the diagnostic performance of Gleamer ChestView versions 1.5.0 and 1.5.4, showing improved lesion-specific performance in version 1.5.4 with fewer false positives and higher diagnostic confidence. The study supports the implementation of updated AI systems after systematic validation.
2025-11
appliedradiology.com
DeepHealth Receives FDA Clearance for Chest X-Ray AI Solution
DeepHealth received FDA 510(k) clearance for Chest XRay, a computer-aided detection system that uses a foundation model to identify and localize suspected abnormalities on chest radiographs. This product is an updated version of technology acquired from Gleamer, previously marketed as ChestView, and retains its cleared capabilities.
2026-09
dotmed.com
DeepHealth gets FDA 510(k) for Chest XRay
DeepHealth has received FDA 510(k) clearance for Chest XRay, an updated version of Gleamer's ChestView technology. The software is designed to assist radiologists in detecting four categories of thoracic findings and is now commercially available in the U.S. and Europe.
2026-09
gleamer.ai
Efficacy of a deep learning-based software for chest X-ray analysis in an emergency department.
This publication from Gleamer's website highlights the efficacy of a deep learning-based software for chest X-ray analysis in an emergency department. It is listed as a clinical study related to ChestView.
2025-04
nih.gov
Current evidence of ChestView as an AI clinical support tool
Gleamer's ChestView, a CE-certified AI solution, is designed for chest X-ray analysis and uses a deep convolutional neural network to identify five common thoracic abnormalities. Studies have shown its utility in improving sensitivity for detecting pulmonary nodules and reducing reading time.
2025-03

Videos

Product demos, reviews, and walkthroughs for ChestView US.

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Frequently Asked Questions

ChestView US is designed to detect and localize various thoracic abnormalities on chest X-rays. These include pneumothorax, pleural effusion, consolidation, lung nodules, and mediastinal or hilar masses.
Yes, ChestView US has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in February 2025, classifying it as a Class II Medical Image Analyzer. This clearance allows for its commercial use across the United States.
ChestView US is designed for seamless integration into existing clinical workflows, providing radiologists with critical insights rapidly. It offers a unified user experience with other Gleamer products like BoneView, facilitating ease of adoption for healthcare providers.
While ChestView US has demonstrated strong performance, limitations in AI tools generally include the need for advanced technological infrastructure and operational costs. Additionally, the performance of AI systems can be affected by image artifacts, suboptimal positioning, or technical differences not present in ideal datasets, and a lack of heterogeneity in training data can limit generalizability. One study also noted that patient positioning can influence ChestView's accuracy for pneumothorax detection.
Several other AI solutions are available for chest X-ray analysis. These include Annalise Enterprise, Riverain ClearRead, Lunit INSIGHT CXR, Qure.ai qXR, Aidoc, AZmed (AZchest), Oxipit CXR Suite, and Rayscape CXR. Each offers varying features for detection, triage, and workflow support.
The pricing for ChestView US is available by quote. Specific pricing details are not publicly disclosed and typically depend on the institution's specific needs and scale of deployment.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18
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