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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The red dot® algorithm we utilize swiftly identifies and highlights irregularities in images with remarkable precision. This advanced AI system has been crafted using a dataset of over 30,000 images, all meticulously evaluated by certified Consultant Radiologists from the UK. With continuous refinement by these highly skilled professionals, our red dot® algorithm maintains an impressive accuracy rate exceeding 90%. The ability to detect abnormalities in mere seconds ensures that patients receive diagnoses even before they leave the hospital. Furthermore, our AI technology enhances current reporting processes and seamlessly integrates with existing Radiology Information Systems (RIS) or Picture Archiving and Communication Systems (PACS), regardless of the vendor. Behold.ai has proven to be a highly cost-efficient solution, effectively alleviating reporting backlogs and capacity challenges while being up to 50% less expensive than outsourced reporting options. Recognized globally, behold.ai has earned a spot among the Top 100 Digital Health companies and is one of only five selected for AI diagnosis worldwide, showcasing its commitment to innovation in healthcare. This recognition underscores the transformative impact our technology is having on medical diagnostics and patient care.

Description

Healthcare providers can offer optimal treatment when equipped with advanced and user-friendly technology. Enhance your efficiency with our top-tier cardiovascular imaging solution. Drawing from over ten years of experience in streamlining workflows, we focus on improving your practice. Effortlessly identify wall motion abnormalities with our system. Key metrics such as stroke volume, ejection fraction, as well as end-diastolic and end-systolic volumes and masses are automatically displayed. Evaluate intricate cardiovascular structures through both 2D and 3D visualization options, along with a variety of measurement tools. Our solution delivers objective, automated quantitative analysis of myocardial blood flow, achieving expert-level precision without user bias. Additionally, it allows for the visualization and quantification of enhanced fibrosis distribution. In the DICOM images, colored lines indicate corresponding areas in the ADAS 3D image for each slice, facilitating a comprehensive understanding of the patient's condition. By integrating these features, we aim to empower healthcare professionals with the insights needed for informed decision-making.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Behold.ai

Country

United Kingdom

Website

behold.ai/

Vendor Details

Company Name

Circle Cardiovascular Imaging

Founded

2007

Country

Canada

Website

www.circlecvi.com

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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