BriefCase - Intracranial Haemorrhage Triage

Key Features

  • Intracranial haemorrhage triage
  • Notification
  • Prioritisation

General Information

Product name

BriefCase - Intracranial Haemorrhage Triage

Company

Subspeciality

Neuro

Modality

CT

Disease targeted

Intracranial hemorrhage

Main task

Not specified

Technical Specifications

Population

Adults or transitional adolescents aged 18 and older

Patient population age

Not specified

Input

Head CT without contrast

Input format

DICOM

Output

Image review software, desktop application, alert notifications, worklist prioritisation

Output format

Annotated images: DICOM Secondary Capture_x000D_ Worklist prioritisation: own application, API, Bespoke integration, HL7

Integration

Integration in standard reading environment (PACS), Integration RIS

Deployment

Cloud based, Hybrid solution, Locally on dedicated hardware

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

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

11-2017

AI Platforms

Aidoc, Merative

Resellers

Change Healthcare

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Assessment of commercially available artificial intelligence software for differentiating hemorrhage from contrast on head CT following thrombolysis for ischemic stroke

Peer-Reviewed

View

Prospective Evaluation of Artificial Intelligence Triage of Intracranial Hemorrhage on Noncontrast Head CT Examinations

Peer-Reviewed

View

Decreased Hospital Length of Stay for ICH and PE after Adoption of an Artificial Intelligence-Augmented Radiological Worklist Triage System

Peer-Reviewed

View

Utilization of Artificial Intelligence–based Intracranial Hemorrhage Detection on Emergent Noncontrast CT Images in Clinical Workflow

Peer-Reviewed

View

Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage

Peer-Reviewed

View

Active Reprioritization of the Reading Worklist Using Artificial Intelligence Has a Beneficial Effect on the Turnaround Time for Interpretation of Head CT with Intracranial Hemorrhage

Peer-Reviewed

View

Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage

Technical Papers

Technical

View

The utility of deep learning: evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studies

Technical

View

Preliminary Results of Aidoc's Deep Learning Algorithm Detection Accuracy for Pathological Intracranial Hyperdense Lesions

Technical

View

Utility of Artificial Intelligence Tool as a Prospective Radiology Peer Reviewer -Detection of Unreported Intracranial Hemorrhage

Other Articles

Other

View

A prospective randomized clinical trial for measuring radiology study reporting time on Artificial Intelligence-based detection of intracranial hemorrhage in emergent care head CT

Source: vendor | First published: Oct 7, 2024 | Last updated: Jul 9, 2025