Key Features

  • Pulmonary embolism detection
  • RV/LV ratio

General Information

Product name

Rapid PE

Company

Subspeciality

Chest

Modality

CT

Disease targeted

Pulmonary embolism

Main task

Detection

Technical Specifications

Population

Not specified

Patient population age

Adult

Input

CTPA, single energy scans

Input format

DICOM

Output

DICOM Secondary Capture, email, worklist prioritization, mobile notifications

Output format

DICOM, HL7

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, docker)

Trigger for analysis

Automatically, Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Not 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

05-2022

AI Platforms

Not specified

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of installations

Evidence & Research

Technical Papers

Technical

View

Accuracy of automated central pulmonary embolism detection using RapidAI. (PERT, 2023)

Technical

View

Increased Number of Mechanical Thrombectomies After Implementation of AI-Driven PERT

Source: vendor | First published: Jul 29, 2025 | Last updated: Jul 29, 2025