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ProductsBriefCase - Pulmonary Embolism Triage

Vendor source

Reviewed 30 Jun 2026

Completeness Strong (78%)

BriefCase - Pulmonary Embolism Triage

Aidoc

Aidoc's pulmonary embolism algorithm is a triage algorithm that alerts clinicians to the presence of one or more suspected pulmonary embolisms that are massive (high-risk), sub-massive (intermediate-risk) or low-risk acute pulmonary embolisms in all segments (central, lobar, segmental, sub-segmental). This algorithm is run on contrast enhanced CTs that are ordered for indications of a suspected pulmonary embolism.

Supported by 6 papers

Key features

Notification

Prioritisation

Pulmonary embolism triage

General Information

Product name

BriefCase - Pulmonary Embolism Triage

Company

Modality

CT

Main task

Not specified

Subspeciality

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

Clinical Implementation of AI for Pulmonary Embolism Detection in over 30 000 CT Pulmonary Angiography Examinations

Radiology: Artificial Intelligence · May 2026

Predicting the Value of Radiology Artificial Intelligence Applications: Large-Scale Predeployment Evaluation of a Portfolio of Models

American Journal of Roentgenology · Mar 2026

Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms

Radiology · Oct 2023

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

Radiology Research and Practice · Aug 2022

How artificial intelligence improves radiological interpretation in suspected pulmonary embolism

European Radiology · Mar 2022

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

European Radiology · Jul 2020

Technical Specifications

Patient population age

Not specified

Input

CTPA

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 aged 18 or older

Market Presence

On market since

04-2019

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: Oct 28, 2023 | Last updated: Jun 30, 2026