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.
hy-medical-ct-lung-nodule.png
Information source: Vendor
Last updated: Oct. 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