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ProductsqER

Vendor source

Reviewed 11 May 2026

Completeness Strong (67%)

Head CT scans are a first line diagnostic modality for patients with head injury or stroke. qER is designed for triage or diagnostic assistance in this setting. The most critical scans are prioritized on the radiology worklist so that they can be reviewed first. It detects critical abnormalities such as bleeds, fractures mass effect and midline shift, localizes them and quantifies their severity. In the US, FDA 510(k) clearance only for quantifying the volume of intracranial structures and lesions. See qER-Quant

Supported by 5 papers

qER
qER
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Key Features

  • Brain pathology detection
  • Mobile notifications
  • Report generation
  • Traumatic brain injury tracking
  • Worklist prioritization

General Information

Product name

qER

Company

Modality

CT

Main task

Not specified

Subspeciality

Neuro

Disease targeted

Intracranial hemorrhage, infarct, cranial fracture, pneumocephalus, hydrocephalus, midline shift, cerebral atrophy

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Peer-Reviewed Papers

Systematic review of commercial artificial intelligence tools for the detection and volume quantification in intracerebral hemorrhage

European Radiology · Jul 2025

Real-Life Performance of a Commercially Available AI Tool for Post-Traumatic Intracranial Hemorrhage Detection on CT Scans: A Supportive Tool

Journal of Clinical Medicine · Jun 2025

Artificial Intelligence-based automated CT brain interpretation to accelerate treatment for acute stroke in rural India: An interrupted time series study

PLOS Global Public Health · Jul 2024

Accuracy of automated intracerebral hemorrhage volume measurement on non-contrast computed tomography: a Swedish Stroke Register cohort study

Neuroradiology · Nov 2022

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

The Lancet · Oct 2018

Technical Specifications

Patient population age

Not specified

Input

Plain head CT scans

Input format

DICOM

Output

Triage notification, worklist highlight, binary assessment of presence or absence, segmentation overlay, quantification report, draft radiology report

Output format

DICOM GSPS, DICOM secondary capture, DICOM structured report, HL7, Pdf

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

1 - 10 minutes

Population

Head CT scans from adults

Market Presence

On market since

05-2018

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Source: Vendor | First published: Sep 4, 2024 | Last updated: May 11, 2026