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ProductsCT AI-assisted Lung Nodule Detection

Vendor source

Reviewed 28 May 2026

Completeness Strong (67%)

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.

Supported by 1 paper

CT AI-assisted Lung Nodule Detection

Key Features

  • Localization and volume quantification
  • Lung nodule detection
  • Malignancy score

General Information

Product name

CT AI-assisted Lung Nodule Detection

Company

Modality

CT

Main task

Not specified

Subspeciality

Chest

Disease targeted

Lung cancer

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Specifications

Patient population age

Not specified

Input

CT chest scan

Input format

DICOM

Output

Lesion annotations, quantitative measurements 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 - 60 seconds

Population

Patient suspected of lung nodule

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 28, 2026

CT AI-assisted Lung Nodule Detection - HY Medical