Key Features

  • Pulmonary embolism detection
  • Pulmonary embolism triage

General Information

Product name

CINA-PE

Subspeciality

Chest

Modality

CT

Disease targeted

Pulmonary embolism

Main task

Not specified

Technical Specifications

Population

Adults suspected of pulmonary embolism

Patient population age

Not specified

Input

Chest and thoraco-abdominal CT angiographies (CTA)

Input format

DICOM

Output

bounding box annotation, notification

Output format

DICOM SC, GSPS

Integration

Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

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

12-2020

AI Platforms

Blackford Analysis, CARPL.AI, Deepc, Incepto, Sectra, TeraRecon

Resellers

Viz.ai Platform

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

A deep learning-based algorithm improves radiology residents’ diagnoses of acute pulmonary embolism on CT pulmonary angiograms

Peer-Reviewed

View

Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT Angiograms

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