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Key Features

  • ASPECTS score
  • HDVS detection
  • Hyperdensity detection and quantification
  • Ischemic volume quantification
  • Report generation

General Information

Product name

e-ASPECTS

Company

Subspeciality

Neuro

Modality

CT

Disease targeted

Stroke

Main task

Not specified

Technical Specifications

Population

Patients with suspicion of stroke

Patient population age

Not specified

Input

Non-contrast CT

Input format

DICOM

Output

Heatmaps and segmentation outlines, clinical scoring

Output format

Not specified

Integration

Integration in standard reading environment (PACS), 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, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

Not specified

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

03-2015

AI Platforms

Bayer Pharmaceuticals, Blackford Analysis

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

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Comparison of automated ASPECTS, large vessel occlusion detection and CTP analysis provided by Brainomix and RapidAI in patients with suspected ischaemic stroke

Peer-Reviewed

View

e-ASPECTS software improves interobserver agreement and accuracy of interpretation of aspects score

Peer-Reviewed

View

Automated assessment of ischemic core on non-contrast computed tomography: a multicenter comparative analysis with CT perfusion

Peer-Reviewed

View

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

Peer-Reviewed

View

Hyperdense Artery Sign in Patients With Acute Ischemic Stroke–Automated Detection With Artificial Intelligence-Driven Software

Source: vendor | First published: May 2, 2024 | Last updated: Jul 9, 2025