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AZChest
AZChest
AZChest
AZChest
AZChest
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Key Features

  • Computer-aided diagnosis tool
  • Intended to help radiologists and emergency physicians to detect and localize abnormalities on standard x-rays

General Information

Product name

AZChest

Company

Subspeciality

Chest

Modality

X-ray

Disease targeted

Consolidation, Pulmonary edema, Pleural effusion, Pneumothorax, Pulmonary nodule, Rib fracture, Cardiomegaly

Main task

Not specified

Technical Specifications

Population

All patients

Patient population age

Not specified

Input

X-ray

Input format

DICOM

Output

Images with the regions of interest for the pathology, coordinates of the regions of interest for the pathology, risk score

Output format

DICOM

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Cloud-based, Locally on dedicated hardware

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

< 3 sec

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

Market Presence

On market since

Not specified

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

Not specified

Based on

Not specified

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Evaluation of the Performance of an Artificial Intelligence (AI) Algorithm in Detecting Thoracic Pathologies on Chest Radiographs

Source: vendor | First published: Apr 7, 2025 | Last updated: Jul 10, 2025