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.

Information source: Vendor
Last updated: October 31, 2023

General Information

General
Product name	DR AI-assisted Pulmonary TB Diagnosis
Company	HY Medical
Subspeciality	Chest
Modality	X-ray
Disease targeted	Tuberculosis
Key-features	TB screening with large population
Suggested use

Technical Specifications

Data characteristics
Population	Patient suspected of TB.
Input	X-ray chest scan
Input format	DICOM
Output	Lesion annotations, confidence level of each lesion.
Output format	DICOM
Technology
Integration	Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis	Automatically, right after the image acquisition
Processing time	3 - 10 seconds

Regulatory

Certification
CE	Certified, Class IIa , MDD
FDA	No or not yet
Intended Use Statements
Intended use (according to CE)	Assist the radiologists to classify the Chest x-rays with specific abnormality labels.

Market

Market presence
On market since	05-2020
Distribution channels	deepcOS
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Pay-per-use, Subscription
Based on	Number of installations, Number of analyses

Evidence

Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers