Lung CT

Rayscape

Key Features

Automatic comparison of nodules
Diameter calculation
Malignancy score
Nodules detection
Nodules localization
Nodules measurements
SARS-Cov2
SARS-CoV2 lesion quantification
Volume calculation

General Information

Product name

Lung CT

Company

Rayscape

Subspeciality

Chest

Modality

Disease targeted

Lung cancer, COVID19

Main task

Not specified

Technical Specifications

Population

Adults, clinical population and screening population.

Patient population age

Not specified

Input

3D, contrast, non-contrast, multi-slice, single-slice, slice thickness <3mm

Input format

DICOM

Output

Nodules detection and localization overlay, table of calculated measurements, table with nodules evolution

Output format

DICOM GSPS, DICOM SC, DICOM SR

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform

Deployment

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

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class I

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

05-2021

AI Platforms

Alma Health Platform, Blackford Analysis, Deepc

Resellers

INFINITT AI Platform

Countries present

Paying clinical customers

100

Research/test users

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Evidence of a cognitive bias in the quantification of COVID-19 with CT: an artificial intelligence randomised clinical trial

Technical Papers

Technical

View

Artificial Intelligence in Computed Tomography - Lung Nodule Analysis Algorithm