BriefCase - Incidental Pulmonary Embolism Triage
General Information
Product name
Company
Subspeciality
Modality
Disease targeted
Main task
Not specified
Technical Specifications
Population
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Pathway:
510(k) cleared
Class:
Class II
Other certifications
Not specified
Market Presence
On market since
AI Platforms
Resellers
Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Based on
Evidence & Research
Peer-Reviewed Papers
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Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen
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Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT
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Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT
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Unreported incidental pulmonary embolism in patients with cancer: Radiologic natural history and risk of recurrent venous thromboembolism and death
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Incidental pulmonary embolism in patients with cancer: prevalence, underdiagnosis and evaluation of an AI algorithm for automatic detection of pulmonary embolism
Technical Papers
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Abstract: Use of a Machine Learning Algorithm to Detect Incidental Pulmonary Embolus
Source: vendor | First published: Jul 14, 2024 | Last updated: Jul 10, 2025