Vendor source

Reviewed 11 May 2026

Completeness Strong (78%)

BriefCase - Incidental Pulmonary Embolism Triage

Aidoc

Aidoc's incidental pulmonary embolism algorithm is a triage algorithm that alerts clinicians to the presence of one or more suspected pulmonary embolisms in the central, lobar, segmental and sub-segmental vessels. This algorithm is run on contrast enhanced CTs that are ordered for indications other than a suspected pulmonary embolism.

Supported by 9 papers

Key features

Incidental pulmonary embolism triage

Notification

Prioritisation

General Information

Product name

BriefCase - Incidental Pulmonary Embolism Triage

Company

Modality

CT

Main task

Not specified

Subspeciality

Abdomen, Chest

Disease targeted

Pulmonary embolism

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

Evidence & Research

Peer-Reviewed Papers

Evaluation of artificial intelligence detection of pulmonary embolism in dual-energy computed tomography

Clinical Radiology · Oct 2025

Evaluation of AI-based detection of incidental pulmonary emboli in cardiac CT angiography scans

The International Journal of Cardiovascular Imaging · Jul 2025

Implementation of an AI Algorithm in Clinical Practice to Reduce Missed Incidental Pulmonary Embolisms on Chest CT and Its Impact on Short-Term Survival

Investigative Radiology · Oct 2024

Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen

American Journal of Roentgenology · Jun 2024

Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT

European Radiology · Aug 2023

Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT

Radiology: Cardiothoracic Imaging · Apr 2023

Unreported incidental pulmonary embolism in patients with cancer: Radiologic natural history and risk of recurrent venous thromboembolism and death

Thrombosis Research · Feb 2023

Incidental pulmonary embolism in patients with cancer: prevalence, underdiagnosis and evaluation of an AI algorithm for automatic detection of pulmonary embolism

European Radiology · Aug 2022

Detection of Incidental Pulmonary Embolism on Conventional Contrast-Enhanced Chest CT: Comparison of an Artificial Intelligence Algorithm and Clinical Reports

American Journal of Roentgenology · Jul 2022

Technical Specifications

Patient population age

Not specified

Input

CT with contrast (not dedicated CTPA protocol)

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

Population

Adults or transitional adolescents age 18 and older

Market Presence

On market since

10-2020

AI Platforms

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

Source: Vendor | First published: Jul 14, 2024 | Last updated: May 11, 2026