Vendor source
Reviewed 11 May 2026
Completeness Strong (61%)
e-ASPECTS is a decision support tool for assessing stroke signs on plain CT brain scans which automates and standardizes the ASPECTS score and measures the volume of ischemic signs. e-ASPECTS assesses non-contrast CT scans for signs of hypodensity, with a "heat map" indicating areas of detected hypodensity and automatically segments ASPECTS regions, scoring and outlining regions containing signs of hypodensity. e-ASPECTS additionally highlights and measures hyperdense vessel signs to detect occlusions as well as volumes of hyperdensities, which may be indicative of blood.
Supported by 11 papers


General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
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
Performance of Deep Learning Reconstruction for Detection of Early Ischemic Changes in NCCT: Comparison with ASIR-V in Acute Stroke
Clinical Neuroradiology · Apr 2026
Characterizing the effects of noncontrast head CT reconstruction kernel and slice thickness parameters on the performance of an automated AI algorithm in the evaluation of ischemic stroke
Journal of Medical Imaging · Jan 2026
Assessing the eligibility of Brainomix e-ASPECTS for acute stroke imaging
Frontiers in Neuroinformatics · Dec 2025
Systematic review of commercial artificial intelligence tools for the detection and volume quantification in intracerebral hemorrhage
European Radiology · Jul 2025
Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network
Mayo Clinic Proceedings: Innovations, Quality & Outcomes · May 2025
Comparative Analysis of the ABC/2 Score and e-ASPECTS Software in the Determination of Acute Ischaemic Stroke Volume from Non-Contrast CT
Brain Sciences · May 2025
Assessing variability in non-contrast CT for the evaluation of stroke: the effect of CT image reconstruction conditions on AI-based CAD measurements of ASPECTS value and hypodense volume
Medical Imaging 2024: Computer-Aided Diagnosis · Apr 2024
Automated assessment of ischemic core on non-contrast computed tomography: a multicenter comparative analysis with CT perfusion
Journal of NeuroInterventional Surgery · Nov 2023
Comparison of automated ASPECTS, large vessel occlusion detection and CTP analysis provided by Brainomix and RapidAI in patients with suspected ischaemic stroke
Journal of Stroke and Cerebrovascular Diseases · Aug 2022
Hyperdense Artery Sign in Patients With Acute Ischemic Stroke–Automated Detection With Artificial Intelligence-Driven Software
Frontiers in Neurology · Apr 2022
e-ASPECTS software improves interobserver agreement and accuracy of interpretation of aspects score
Interventional Neuroradiology · Apr 2021
Technical Specifications
Patient population age
Not specified
Input
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Output
Output format
Not specified
Integration
Deployment
Trigger for analysis
Processing time
Not specified
Population
Market Presence
On market since
AI Platforms
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: May 2, 2024 | Last updated: May 11, 2026