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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Caas MR 4D Flow is expertly crafted to efficiently extract pertinent data from 3D phase-contrast MR images with minimal effort. Utilizing these advanced images, it provides two innovative 4D Flow modules that facilitate comprehensive flow analysis, which is instrumental in the assessment and interpretation of cardiovascular MR images, as well as in strategizing the timing and nature of interventions. One of these modules focuses on evaluating blood vessels, ranging from major arteries like the aorta to smaller vessels such as those found in the kidneys, while the other specializes in assessing heart valves concerning regurgitation fraction. Among the significant outputs are the visualization of aortic blood flow presented as streamlines, pathlines, and color-coded vectors; detailed mapping of wall shear stress alongside localized wall shear stress values; measurement of pressure differences across specific segments; and the visualization and quantification of regurgitant fractions for all four heart valves, in addition to conducting 2D flow phase-contrast analyses. This comprehensive approach not only enhances understanding but also significantly aids clinicians in making informed decisions regarding patient care.

Description

Qure.ai's qLC-Suite is a cutting-edge AI-driven tool aimed at improving the early identification and management of lung nodules, which is crucial for prompt lung cancer intervention. This solution delivers accurate measurements, thorough characterization, and 3D imaging of lung nodules, ensuring that opportunities for early treatment are not overlooked. It is capable of supporting both incidental and targeted screenings by efficiently identifying nodules and calculating their volume with just one click. Moreover, the system monitors volumetric changes over time, providing valuable insights into nodule development. The qLC-Suite is designed to integrate smoothly into current workflows, offering quick analysis and reporting that assist healthcare professionals in their decision-making processes. In addition to its analytical capabilities, it serves as a comprehensive platform for managing lung nodules, facilitating care coordination through intelligent prompts, providing hardware-agnostic image viewing for AI-enhanced chest X-rays and CT scans, enabling seamless sharing of scans across departments, and allowing for tailored notifications for cases of concern. Overall, qLC-Suite represents a significant advancement in lung cancer care, promoting timely interventions that can ultimately save lives.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)

Integrations

Amazon Web Services (AWS)

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Pie Medical Imaging

Founded

1995

Country

Netherlands

Website

www.piemedicalimaging.com/product/mr-solutions/4d-flow

Vendor Details

Company Name

Qure.ai

Founded

2016

Country

United States

Website

www.qure.ai/product/lung-nodule-management

Product Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Product Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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