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ProductsLuCAS-Plus

Vendor source

Reviewed 28 May 2026

Completeness Strong (72%)

LuCAS-plus can automatically detect and suggest nodules through its AI algorithm. The main aim of this solution is to carry out an automated and interconnected medical diagnostic process to minimize the error in diagnostic results. Also, it can compare analysis between current and previous CT images in order to help the doctor's workflow.

Supported by 1 paper

LuCAS-Plus
LuCAS-Plus
LuCAS-Plus
LuCAS-Plus
LuCAS-Plus
LuCAS-Plus
LuCAS-Plus
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Key Features

  • Longitudinal follow-up
  • Nodule characterization
  • Nodule detection and localization
  • Nodule quantification
  • Segmentation and measurement

General Information

Product name

LuCAS-Plus

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

3D, constrast, non-contrast, CT, low-dose CT

Input format

DICOM

Output

Nodule coordinate, nodule segmentation, nodule size, nodule type, nodule location, nodule change

Output format

DICOM

Integration

Integration CIS (Clinical Information System), Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

1 - 10 minutes

Population

Asymptomatic population, all ages

Market Presence

On market since

07-2020

AI Platforms

Resellers

Not specified

Countries present

1

Paying clinical customers

0

Research/test users

2

Pricing Information

Pricing model

One-time license fee, Subscription

Based on

Number of analyses, Number of installations, Number of users

Source: Vendor | First published: Mar 23, 2022 | Last updated: May 28, 2026