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ProductsDR AI-assisted Pulmonary TB Diagnosis

Vendor source

Reviewed 11 May 2026

Completeness Strong (64%)

DR AI-assisted Pulmonary TB Diagnosis

HY Medical

This AI tool is designed to support radiologists in diagnosing tuberculosis from X-ray chest scans. It features automatic batch operation for efficient processing, identifies the affected regions by marking lesions with rectangles, and provides a confidence level to aid in decision-making.

No papers to support — we monitor for new evidence.

DR AI-assisted Pulmonary TB Diagnosis

Key Features

  • TB screening with large population

General Information

Product name

DR AI-assisted Pulmonary TB Diagnosis

Company

Modality

X-ray

Main task

Not specified

Subspeciality

Chest

Disease targeted

Tuberculosis

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Not specified

Input

X-ray chest scan

Input format

DICOM

Output

Lesion annotations, confidence level 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 seconds

Population

Patient suspected of TB.

Market Presence

On market since

05-2020

AI Platforms

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 analyses, Number of installations

Source: Vendor | First published: Oct 31, 2023 | Last updated: May 11, 2026