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InferRead DR Chest

Key Features

  • Abnormality detection

General Information

Product name

InferRead DR Chest

Subspeciality

Chest

Modality

X-ray

Disease targeted

Lung cancer, pneumothorax, fracture, tuberculosis, lung infection, aortic calcification, cord imaging, heart shadow enlargement, pleural effusion.

Main task

Not specified

Technical Specifications

Population

any

Patient population age

Not specified

Input

Chest X-ray

Input format

DICOM

Output

lesions name, lesion location, degree of abnormality

Output format

DICOM GSPS, DICOM overlay, Pdf file (draft report), Webviewer (description of lesion features)

Integration

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

Deployment

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

Trigger for analysis

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

Processing time

3 - 10 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

01-2020

AI Platforms

Deepc, Newton's Tree

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

Peer-Reviewed Papers

Peer-Reviewed

View

Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software

Peer-Reviewed

View

Doctor’s Orders—Why Radiologists Should Consider Adjusting Commercial Machine Learning Applications in Chest Radiography to Fit Their Specific Needs

Peer-Reviewed

View

Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction

Source: vendor | First published: Sep 4, 2024 | Last updated: Jul 9, 2025