Health AI Register Logo
ProductsPlatformsCompaniesNewsContact
ProductsCAD4COVID-XRay

Vendor source

Reviewed 11 May 2026

Completeness Strong (69%)

CAD4COVID-XRay

Delft Imaging

To detect COVID-19 related abnormalities in frontal chest X-rays, Delft Imaging and Thirona developed CAD4COVID-XRay. This computer-aided detection software takes a single chest X-ray as its input, in the form of a DICOM image, and produces several outputs: a quality assessment of the input image, a heat map highlighting possible abnormal areas, a score between 0-100 indicating the percentage of visible lung area that is affected, and a score between 0 and 100 indicating the likelihood of the X-ray being abnormal and the subject on the X-ray being affected by COVID-19.

Supported by 1 paper

CAD4COVID-XRay

Key Features

  • Heatmap of abnormalities
  • Pathology quantification
  • Risk scores

General Information

Product name

CAD4COVID-XRay

Modality

X-ray

Main task

Not specified

Subspeciality

Chest

Disease targeted

COVID-19

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Specifications

Patient population age

Not specified

Input

Frontal chest X-rays

Input format

DICOM

Output

Segmentation overlay, abnormality heatmap, risk scores,

Output format

DICOM, PNG, TXT

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, 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, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

< 10 seconds

Population

All chest X-rays

Market Presence

On market since

06-2020

AI Platforms

Resellers

Not specified

Countries present

5

Paying clinical customers

5

Research/test users

60

Pricing Information

Pricing model

Not specified

Based on

Number of analyses

Source: Vendor | First published: Oct 1, 2023 | Last updated: May 11, 2026