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What is CADU?

CADU, an AI-driven cloud solution developed by Odin Vision, assists in the detection and analysis of dysplasia in patients with Barrett’s oesophagus during gastroscopy procedures. The platform assesses regions that visually mimic Barrett's oesophagus, providing valuable insights to help healthcare professionals discern between dysplastic and non-dysplastic tissues. By streamlining the decision-making process for endoscopists and enhancing the efficiency of oesophageal examinations, CADU is both time-saving and cost-effective. Moreover, its vendor-neutral design allows for compatibility with a variety of endoscopic devices. The system is CE marked and has received UKCA approval, although it is not currently available for commercial distribution in the United States. CADU is already in use at clinical institutions such as University College London Hospitals, where it aims to improve the early detection of oesophageal cancer, a condition that poses challenges due to the often subtle presentation of initial lesions. Its deployment marks a notable progression in the early identification of this critical health issue, underscoring the transformative role of technology in contemporary healthcare practices. This innovative approach signifies a promising leap forward in combating a disease that can be lethal if not caught in its early stages.

What is CADDIE?

CADDIE (Computer-Aided Detection for Endoscopy) is a cutting-edge AI application developed by Odin Vision, designed to improve the capabilities of endoscopists in detecting and assessing colorectal polyps during colonoscopy procedures. By leveraging the powerful cloud infrastructure from NVIDIA, CADDIE analyzes real-time video feeds from standard white-light endoscopes, providing visual cues that highlight potential polyp locations. This system categorizes polyps into adenomas and non-adenomas, aiding healthcare providers in making informed decisions about resection and histopathological analysis. In addition to polyp identification, CADDIE assesses bowel cleanliness by measuring the visible mucosa percentage and recognizes the appendiceal orifice to facilitate effective cecal intubation. Its cloud-based architecture allows for seamless software updates, removing the need for on-site technical support. Furthermore, CADDIE is designed to integrate smoothly with existing endoscopic devices and can be adopted into current clinical workflows with minimal training required, proving to be an essential asset in contemporary gastroenterology. Ultimately, this innovative technology aspires to enhance patient outcomes and improve the precision of colorectal cancer screenings, thereby addressing critical healthcare challenges.

Media

Media

Integrations Supported

NVIDIA DRIVE

Integrations Supported

NVIDIA DRIVE

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Odin Vision

Company Location

United Kingdom

Company Website

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

Company Facts

Organization Name

Odin Vision

Company Location

United Kingdom

Company Website

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

Categories and Features

Medical Imaging

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

Categories and Features

Medical Imaging

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

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