CT AI-assisted Pneumonia Diagnosis

Key Features

  • Pneunomonia score
  • Quantification of affected volume

General Information

Product name

CT AI-assisted Pneumonia Diagnosis

Company

Subspeciality

Chest

Modality

CT

Disease targeted

Pneumonia

Main task

Not specified

Technical Specifications

Population

Patient suspected to have pneumonia

Patient population age

Not specified

Input

CT chest scan

Input format

DICOM

Output

Lesion annotations, quantitative measurements of each lesion.

Output format

DICOM

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone webbased

Deployment

Cloud-based, 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:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

05-2020

AI Platforms

Deepc

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use, Subscription

Based on

Number of analyses, Number of installations

Evidence & Research

No research papers or evidence available for this product.

Source: vendor | First published: Oct 31, 2023 | Last updated: Jul 9, 2025