JSON twin: https://www.healthaidb.com/software/qer.json
Qure.ai
https://www.qure.ai/product/qer
qER is Qure.ai's AI-powered head CT triage and interpretation tool that detects intracranial hemorrhage, infarct, fractures, mass effect, midline shift and related findings to prioritize and assist emergency neuroimaging workflows.
qER analyses non-contrast head CT DICOM images using deep learning to provide triage notifications, binary detections, lesion localization/segmentation, volume quantification (qER‑Quant), draft radiology reports and worklist prioritization; deployed cloud, hybrid or on-premise and integrated with PACS/RIS and interoperability standards (DICOM, HL7). It holds CE (MDR, Class IIb) and multiple FDA 510(k) clearances for head CT indications.
yes
2016
Multi-region hosting (US and EU regions supported); cloud-hosting options and bring-your-own-cloud / on-prem deployments
P1876
2025-09-07
proprietary commercial
Contact vendor for pricing, deployment and licensing options; commercial trials and pilots available upon request.
enterprise_quote
2019
Hardware agnostic; supports cloud hosting (AWS) and on‑prem appliances; integrates with PACS/RIS/EMR via DICOM/HL7/FHIR
product
1.0
{
"company_name": "Qure.ai",
"company_url": "https://www.qure.ai",
"company_offices": [
"India",
"United States",
"United Kingdom",
"United Arab Emirates"
],
"company_founding": "2016",
"product_url": "https://www.qure.ai/product/qer",
"categories": [
"clinical",
"diagnostic",
"medical imaging",
"AI clinical decision support",
"stroke care",
"workflow/coordination"
],
"market_segment": [
"enterprise",
"hospitals",
"health systems"
],
"links": [
"https://www.qure.ai/product/qer",
"https://www.qure.ai/regulatory-and-privacy",
"https://www.qure.ai/evidences",
"https://www.qure.ai/privacy-policy",
"https://www.qure.ai/contact-us",
"https://app.qure.ai",
"https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K211222",
"https://healthairegister.com/radiology/products/qureai-qer",
"https://www.nice.org.uk/guidance/dg57/resources/artificial-intelligence-aiderived-software-to-help-clinical-decision-making-in-stroke-pdf-1053876693445"
],
"summary": "qER is Qure.ai's AI-powered head CT triage and interpretation tool that detects intracranial hemorrhage, infarct, fractures, mass effect, midline shift and related findings to prioritize and assist emergency neuroimaging workflows.",
"description": "qER analyses non-contrast head CT DICOM images using deep learning to provide triage notifications, binary detections, lesion localization/segmentation, volume quantification (qER‑Quant), draft radiology reports and worklist prioritization; deployed cloud, hybrid or on-premise and integrated with PACS/RIS and interoperability standards (DICOM, HL7). It holds CE (MDR, Class IIb) and multiple FDA 510(k) clearances for head CT indications.",
"target_users": [
"radiologists",
"emergency physicians",
"neurosurgeons",
"stroke teams",
"teleradiology providers",
"radiology technicians",
"hospital administrators"
],
"specialties": [
"neuroradiology",
"emergency medicine",
"stroke care",
"trauma/traumatic brain injury"
],
"regions_available": [
"United States",
"India",
"European Union",
"United Kingdom",
"France",
"Global"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, deployment and licensing options; commercial trials and pilots available upon request.",
"license": "proprietary commercial",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Windows"
],
"features": [
"Automated detection of intracranial hemorrhage on non-contrast head CT",
"Detection of mass effect and midline shift",
"Cranial fracture detection",
"Volume quantification / qER-Quant",
"Real-time triage and high-priority alerting/notifications",
"Care coordination (Qure App) with team activation",
"Mobile image viewer (view images as acquired)",
"Case prioritization and workflow routing",
"DICOM ingestion and PACS connectivity",
"Report generation support and structured findings",
"Analytics and time-to-treatment / outcomes dashboards",
"Hub-and-spoke stroke network support",
"Clinical decision support / guideline-based recommendations",
"Audit logging and traceability for cases"
],
"optional_modules": [
"qER-Quant (bleed quantification)",
"Qure App (care coordination / mobile workflow)",
"Advanced analytics / program evaluation dashboards"
],
"integrations": [
"Philips",
"Sectra",
"Medtronic (partnerships for clinical workflow)",
"PACS",
"RIS",
"EMR/EHR",
"AWS (cloud hosting / ISV partnership)",
"Teleradiology vendors / vRad-style services"
],
"data_standards": [
"DICOM",
"HL7 (interfaces)",
"FHIR",
"ICD-10",
"SNOMED CT"
],
"api_available": "yes",
"system_requirements": "Hardware agnostic; supports cloud hosting (AWS) and on‑prem appliances; integrates with PACS/RIS/EMR via DICOM/HL7/FHIR",
"compliance": [
"HIPAA",
"EU GDPR",
"HITECH (implied compliance)"
],
"certifications": [
"FDA 510(k) clearance (qER - K200921 for bleeds)",
"CE (Class IIb, MDR)",
"Health Canada medical device licence (Class III)"
],
"security_features": [
"Data encryption in transit and at rest",
"Role-based access control (RBAC)",
"SSO/SAML support",
"Audit logs",
"Two-factor authentication"
],
"privacy_features": [
"Business Associate Agreement (BAA) available",
"GDPR data protection / privacy controls",
"Data de-identification/anonymization for research",
"Consent management features (platform-level controls)"
],
"data_residency": "Multi-region hosting (US and EU regions supported); cloud-hosting options and bring-your-own-cloud / on-prem deployments",
"customers": [
"Milton Keynes University Hospital NHS Foundation Trust",
"Christian Medical College (CMC) Ludhiana",
"Aster MIMS Kozhikode",
"Baptist Christian Hospital, Tezpur",
"Medica (India) hospitals",
"Various NHS trusts (UK)",
"Teleradiology providers (unnamed large practices)",
"Blackford Analysis (platform deployment partner)",
"DeepC (partner deployments)",
"Sectra (marketplace/partner integrator)"
],
"user_reviews": [
"Helps prioritise head CTs with suspected intracranial haemorrhage so urgent cases get seen faster.",
"Quickly flags critical findings (bleed, mass effect, midline shift) which speeds up triage in the ED.",
"Has been useful in hub-and-spoke stroke networks to reduce time-to-treatment decisions.",
"Quantification (qER-Quant) provides useful volumetry for tracking ICH progression.",
"Integration with PACS improved workflow, though occasional false positives require radiologist review.",
"Deployment in remote hospitals allowed faster stroke detection where neuroradiology expertise wasn't onsite."
],
"ratings": [
"FDA 510(k) clearance (qER) — U.S. Food and Drug Administration",
"FDA 510(k) clearance (qER-Quant) — U.S. Food and Drug Administration",
"Listed/reviewed on G2 (user reviews present) — G2"
],
"support_channels": [
"email",
"phone",
"ticketing",
"chat",
"partner-led implementation"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"implementation support"
],
"release_year": "2019",
"integration_partners": [
"Medtronic (clinical/hub-and-spoke partnerships)",
"GE HealthCare (collaboration/integration)",
"Blackford Analysis (deployment/platform)",
"DeepC (partnership)",
"Sectra (marketplace/integration)",
"Incepto (distribution in EU)",
"Various PACS/VNA vendors (unnamed integrators)"
],
"id": "P1876",
"slug": "qer",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/qer.json"
}
}