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Average Ratings 0 Ratings

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ease
features
design
support

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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

CADU, a cloud-enabled AI solution created by Odin Vision, is designed to aid in identifying and characterizing dysplasia in individuals with Barrett’s oesophagus during gastroscopy. The system evaluates areas that visually resemble Barrett’s oesophagus and offers insights to help clinicians determine whether the tissue is dysplastic or non-dysplastic. By improving the decision-making process for endoscopists and expediting the examination of the oesophagus, CADU proves to be both time-efficient and cost-effective. Additionally, it functions on a platform that is vendor-neutral, facilitating its use with various endoscopic equipment. The system is CE marked and holds UKCA approval; however, it is not available for commercial sale in the United States. CADU has been adopted in clinical environments, including University College London Hospitals, aiming to enhance the detection of early oesophageal cancer, which can often be difficult to identify due to the subtle nature of initial lesions. Its implementation represents a significant advancement in the early diagnosis of this serious condition, highlighting the importance of technology in modern medicine.

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

Odin Vision

Country

United Kingdom

Website

odin-vision.com/en_gb/cadu-2/

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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