JSON twin: https://www.healthaidb.com/software/azchest.json
AZmed
https://www.azmed.co/azproducts-pages/azchest
AI-powered chest X‑ray software that automatically detects, localizes and reports common cardiac and pulmonary abnormalities to speed workflow and support radiology/ED diagnosis.
AZchest (by AZmed) is a clinically validated AI radiology solution for analysis of frontal and lateral chest X‑rays. It detects and localizes pathologies including consolidation, pulmonary edema, pleural effusion, pneumothorax, pulmonary nodules, rib fractures and cardiomegaly, returns ROIs and risk scores in DICOM, integrates with PACS or marketplaces, and can be deployed cloud or on‑premises; CE (MDR Class IIa) and FDA 510(k) (Class II) cleared.
unknown
2018
P1866
2025-09-07
proprietary commercial
Contact vendor for pricing, demos and trial information.
enterprise_quote
product
1.0
{
"company_name": "AZmed",
"company_url": "https://www.azmed.co",
"company_offices": [
"France"
],
"company_founding": "2018",
"product_url": "https://www.azmed.co/azproducts-pages/azchest",
"categories": [
"clinical",
"diagnostic",
"radiology",
"medical imaging",
"workflow"
],
"market_segment": [
"enterprise",
"smb"
],
"links": [
"https://www.azmed.co/azproducts-pages/azchest",
"https://www.azmed.co/about",
"https://www.azmed.co/ifu",
"https://healthairegister.com/radiology/products/azchest",
"https://www.diagnosticimaging.com/view/fda-clears-azchest-ai-software-for-new-cxr-applications",
"https://www.auntminnie.com/clinical-news/digital-x-ray/article/15741704/azmed-secures-two-fda-clearances-for-its-ai-chest-xray-software",
"https://www.azmed.co/news-post/azmed-receives-two-new-fda-clearances-for-its-ai-powered-chest-x-ray-solution"
],
"summary": "AI-powered chest X‑ray software that automatically detects, localizes and reports common cardiac and pulmonary abnormalities to speed workflow and support radiology/ED diagnosis.",
"description": "AZchest (by AZmed) is a clinically validated AI radiology solution for analysis of frontal and lateral chest X‑rays. It detects and localizes pathologies including consolidation, pulmonary edema, pleural effusion, pneumothorax, pulmonary nodules, rib fractures and cardiomegaly, returns ROIs and risk scores in DICOM, integrates with PACS or marketplaces, and can be deployed cloud or on‑premises; CE (MDR Class IIa) and FDA 510(k) (Class II) cleared.",
"target_users": [
"radiologists",
"emergency physicians",
"radiographers/technologists",
"clinical administrators"
],
"specialties": [
"chest radiology",
"thoracic imaging",
"emergency medicine"
],
"regions_available": [
"France",
"European Union",
"United States"
],
"languages_supported": [
"English",
"French"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, demos and trial information.",
"license": "proprietary commercial",
"deployment_model": [
"Cloud-based",
"On-premises (dedicated hardware)"
],
"os_platforms": [
"Web",
"Linux",
"Windows"
],
"features": [
"Automated detection and localization of chest X-ray abnormalities (consolidation, pulmonary edema, pleural effusion, pneumothorax, nodules, rib fracture, cardiomegaly)",
"Produces images with regions of interest and coordinates",
"Per-lesion / per-case risk score (probability)",
"DICOM input and DICOM output",
"Integration into standard reading environment (PACS) / viewer",
"Automatic trigger immediately after image acquisition",
"Fast processing time (<3 seconds)",
"Triage/prioritization of studies",
"Reporting assistance / structured outputs",
"Clinical performance metrics / validated AUCs",
"Workflow optimization and reading time reduction",
"Localization heatmaps/overlays for radiologists",
"Stand‑alone third‑party application mode"
],
"optional_modules": [
"PACS connector / integration module",
"AI marketplace / distribution platform integration",
"On-premises deployment package (dedicated hardware)",
"Reporting/template customization module"
],
"integrations": [
"PACS (standard reading environment)",
"DICOM viewers",
"AI marketplaces / distribution platforms",
"Stand‑alone third‑party application integration",
"RIS/HIS (integration via typical hospital interfaces)"
],
"data_standards": [
"DICOM"
],
"api_available": "unknown",
"system_requirements": "",
"compliance": [
"CE (MDR) - Class IIa",
"FDA 510(k) cleared"
],
"certifications": [
"CE MDR Class IIa",
"FDA 510(k)"
],
"security_features": [],
"privacy_features": [],
"data_residency": "",
"customers": [
"MVZ Radiologie Karlsruhe",
"Wrightington Hospital",
"University Hospitals (UH)"
],
"user_reviews": [],
"ratings": [
"FDA 510(k) clearance — Class II",
"CE certification — MDR Class IIa",
"Pneumothorax detection: 93.79% sensitivity, AUC 0.9857 (reported)",
"Pleural effusion detection: 91.34% sensitivity, AUC 0.983 (reported)",
"Lung nodule detection standalone sensitivity 88.47%, specificity 82.94% (reported)"
],
"support_channels": [
"email",
"phone",
"ticketing",
"chat",
"community"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"certification"
],
"release_year": "",
"integration_partners": [],
"id": "P1866",
"slug": "azchest",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/azchest.json"
}
}