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ProductsInferRead DR Chest

Vendor source

Reviewed 11 May 2026

Completeness Strong (67%)

InferRead DR Chest

Infervision

InferRead DR Chest aims to detect diverse pathologies in a single X-Ray image. It is able to detect 14 different pathologies including pneumonia, tuberculosis, fracture, nodules, pleural effusion or pulmonary infection among others of high interest. This solution is aimed at detecting incidental findings and at those cases where rapid and cost-effective diagnose must be made such as the emergency rooms or small healthcare centers where CT scans are not available or where a second reading is required.

Supported by 4 papers

InferRead DR Chest

Key Features

  • Abnormality detection

General Information

Product name

InferRead DR Chest

Modality

X-ray

Main task

Not specified

Subspeciality

Chest

Disease targeted

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

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Specifications

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, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

< 10 seconds

Population

any

Market Presence

On market since

01-2020

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

Source: Vendor | First published: Sep 4, 2024 | Last updated: May 11, 2026