CT AI-assisted Lung Nodule Detection

HY Medical

The AI tool is capable of detecting lung nodules in CT scans. Classification (solid, partial solid, ground glass, calcification) and risk prediction (benign, malignant) on each nodule are provided.

Information source: Vendor
Last updated: October 31, 2023

General Information

General
Product name	CT AI-assisted Lung Nodule Detection
Company	HY Medical
Subspeciality	Chest
Modality	CT
Disease targeted	Lung cancer
Key-features	Lung nodule detection, localization and volume quantification, malignancy score
Suggested use

Technical Specifications

Data characteristics
Population	Patient suspected of lung nodule
Input	CT chest scan
Input format	DICOM
Output	Lesion annotations, quantitative measurements 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	10 - 60 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 identify suspected lung nodules.

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