Vendor source
Reviewed 11 May 2026
Completeness Strong (78%)
qER-Quant
Qure.aiqER-Quant's deep learning algorithms quantify the volume of intracranial structures and lesions. Clinicians can use these quantitative measurements to assist with determining the severity of the trauma, lesion or underlying disease, or to assist with the comparison of multiple CT scans. qER-Quant is part of qER in Europe. In the United States qER-Quant is available as a separate product.
Supported by 2 papers
General Information
Product name
Company
Modality
Main task
Not specified
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Disease targeted
Regulatory Information
Pathway:
MDD
Class:
Class IIa
Verified by Health AI Register
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis
World Neurosurgery · Mar 2024
Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms
World Neurosurgery · Jan 2021
Technical Specifications
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Not specified
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On market since
AI Platforms
Resellers
Not specified
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Based on
Source: Vendor | First published: Mar 23, 2024 | Last updated: May 11, 2026