ChestView
JSON twin: https://www.healthaidb.com/software/chestview.json
Company Name
Gleamer
Product URL
https://www.gleamer.ai/solutions/chestview
Company URL
https://www.gleamer.ai
Categories
Summary
ChestView is an AI-powered solution by Gleamer that assists radiologists in detecting and localizing abnormalities in chest X-rays, enhancing diagnostic accuracy and workflow efficiency.
Description
ChestView leverages advanced artificial intelligence algorithms to automatically detect key radiological findings in chest X-rays, including pneumothorax, pleural effusion, consolidation, nodules, and mediastinal or hilar masses. It integrates seamlessly into existing clinical workflows, providing radiologists with critical insights in seconds and significantly improving diagnostic sensitivity and reducing time-to-diagnosis. The solution has received FDA clearance, marking a significant advancement in AI-assisted radiological diagnostics.
Api Available
yes
Certifications
Company Founding
2017
Company Offices
Compliance
- CE (Class IIa)
- FDA 510(k) clearance
- GDPR
Customers
- Hôpital Cochin AP-HP, Paris, France
Data Residency
US and EU deployment options (cloud/region choices)
Data Standards
- DICOM
- HL7 v2
- FHIR
- SNOMED CT
- ICD-10
Deployment Model
Features
- Multi-finding CADe for chest X-ray
- Detection of pneumothorax, pleural effusion, consolidation, lung nodule, mediastinal mass
- Lesion localization with explainable regions of interest / heatmaps
- Triage and study prioritization / worklist flagging
- Automated alerts/notifications for critical findings
- DICOM ingest and viewer overlay
- Batch processing / concurrent reading aid
- Reporting assistance and structured outputs
- Explainability / visual overlays for clinician interpretation
- Clinical evidence and performance reporting
Id
SW0694
Integration Partners
Integrations
- PACS (vendor-agnostic DICOM integration)
- RIS
- DICOM viewers / PACS viewer overlays
- Hospital worklists / workflows
- Aidoc
- Fujifilm
- VIDI
- RMS Medical Devices
- Sectra
- Incepto Medical
- Blackford Analysis
Languages Supported
- English
- French
- Spanish
- German
- Italian
- Portuguese
- Dutch
- Russian
- Chinese
- Japanese
- Korean
- Arabic
- Hindi
- Bengali
- Punjabi
- Javanese
- Turkish
- Vietnamese
- Telugu
- Marathi
Last Updated
2025-10-11
License
Commercial
Market Segment
Optional Modules
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
Subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0694
Product Name
ChestView
Ratings
- ChestView has significantly improved our detection of urgent and cancerous chest findings, enhancing patient care.
Regions Available
Related Urls
Release Year
2020
Security Features
- Encryption
- RBAC
- SSO/SAML
- Audit logs
- 2FA
- DLP
Specialties
Support Channels
- email
- phone
- chat
- ticketing
- community
- 24x7
System Requirements
Target Users
- Radiologists
- Clinicians
- Healthcare Providers
Training Options
- documentation
- webinars
- live_online
- onsite
- certification
Type
product
User Reviews
- ChestView has significantly improved our detection of urgent and cancerous chest findings, enhancing patient care.
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "ChestView",
"company_name": "Gleamer",
"product_url": "https://www.gleamer.ai/solutions/chestview",
"company_url": "https://www.gleamer.ai",
"related_urls": [
"https://www.medwrench.com/article/60591/gleamer-receives-fda-clearance-for-chestview",
"https://dieurope.com/radiologie-ki/gleamer-chestview/",
"https://radiologiemagazin.de/radiologie-ki/gleamer-boneview/",
"https://healthairegister.com/radiology/products/gleamer-ai-chestview"
],
"product_code": "SW0694",
"summary": "ChestView is an AI-powered solution by Gleamer that assists radiologists in detecting and localizing abnormalities in chest X-rays, enhancing diagnostic accuracy and workflow efficiency.",
"description": "ChestView leverages advanced artificial intelligence algorithms to automatically detect key radiological findings in chest X-rays, including pneumothorax, pleural effusion, consolidation, nodules, and mediastinal or hilar masses. It integrates seamlessly into existing clinical workflows, providing radiologists with critical insights in seconds and significantly improving diagnostic sensitivity and reducing time-to-diagnosis. The solution has received FDA clearance, marking a significant advancement in AI-assisted radiological diagnostics.",
"categories": [
"clinical Care",
"imaging Software",
"radiology",
"ai Clinical Documentation Integrity",
"clinical Decision Support",
"Clinical",
"Diagnostic Imaging",
"Radiology",
"Artificial Intelligence"
],
"market_segment": [
"Enterprise",
"SMB"
],
"target_users": [
"Radiologists",
"Clinicians",
"Healthcare Providers"
],
"specialties": [
"Radiology",
"Pulmonology",
"Oncology"
],
"regions_available": [
"United States",
"Europe",
"Asia",
"Australia",
"Africa",
"South America",
"North America",
"Middle East",
"Oceania",
"Antarctica"
],
"languages_supported": [
"English",
"French",
"Spanish",
"German",
"Italian",
"Portuguese",
"Dutch",
"Russian",
"Chinese",
"Japanese",
"Korean",
"Arabic",
"Hindi",
"Bengali",
"Punjabi",
"Javanese",
"Turkish",
"Vietnamese",
"Telugu",
"Marathi"
],
"pricing_model": "Subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "Commercial",
"company_offices": [
"France",
"United States",
"Germany",
"United Kingdom",
"Italy",
"Spain",
"Netherlands",
"Belgium",
"Switzerland",
"Canada"
],
"company_founding": "2017",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web"
],
"features": [
"Multi-finding CADe for chest X-ray",
"Detection of pneumothorax, pleural effusion, consolidation, lung nodule, mediastinal mass",
"Lesion localization with explainable regions of interest / heatmaps",
"Triage and study prioritization / worklist flagging",
"Automated alerts/notifications for critical findings",
"DICOM ingest and viewer overlay",
"Batch processing / concurrent reading aid",
"Reporting assistance and structured outputs",
"Explainability / visual overlays for clinician interpretation",
"Clinical evidence and performance reporting"
],
"optional_modules": [],
"integrations": [
"PACS (vendor-agnostic DICOM integration)",
"RIS",
"DICOM viewers / PACS viewer overlays",
"Hospital worklists / workflows",
"Aidoc",
"Fujifilm",
"VIDI",
"RMS Medical Devices",
"Sectra",
"Incepto Medical",
"Blackford Analysis"
],
"data_standards": [
"DICOM",
"HL7 v2",
"FHIR",
"SNOMED CT",
"ICD-10"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"CE (Class IIa)",
"FDA 510(k) clearance",
"GDPR"
],
"certifications": [
"CE Class IIa",
"FDA 510(k)"
],
"security_features": [
"Encryption",
"RBAC",
"SSO/SAML",
"Audit logs",
"2FA",
"DLP"
],
"privacy_features": [
"BAA available",
"Consent management",
"Anonymization",
"Data minimization"
],
"data_residency": "US and EU deployment options (cloud/region choices)",
"customers": [
"Hôpital Cochin AP-HP, Paris, France"
],
"user_reviews": [
"ChestView has significantly improved our detection of urgent and cancerous chest findings, enhancing patient care."
],
"ratings": [
"ChestView has significantly improved our detection of urgent and cancerous chest findings, enhancing patient care."
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"community",
"24x7"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"certification"
],
"release_year": "2020",
"integration_partners": [
"PACS systems",
"RIS systems"
],
"id": "SW0694",
"slug": "chestview",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/chestview.json"
}
}