CADUOdin Vision
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CADDIEOdin Vision
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Related Products
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About
CADU is a cloud-based AI system developed by Odin Vision to assist in the detection and characterization of dysplasia in patients with Barrett’s oesophagus during gastroscopy procedures. It analyzes regions visually consistent with Barrett’s oesophagus and provides information to aid the user in identifying the tissue as dysplastic or non-dysplastic. CADU enhances endoscopists' decision-making and reduces the time it takes to inspect the oesophagus, proving to be time and cost-effective. CADU operates on a vendor-neutral platform, ensuring compatibility with existing endoscopy equipment. It is CE marked and UKCA approved, though it is not available for sale in the United States. CADU has been implemented in clinical settings, such as University College London Hospitals, to improve the detection of early-stage oesophageal cancer, a condition often challenging to diagnose due to the subtlety of early lesions.
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About
CADDIE (Computer-Aided Detection for Endoscopy) is a cloud-based AI software developed by Odin Vision, designed to assist endoscopists in detecting and characterizing colorectal polyps during colonoscopy procedures. Leveraging NVIDIA's cloud infrastructure, CADDIE analyzes real-time video feeds from standard white-light endoscopes, providing visual markers to highlight potential polyps. It classifies polyps into adenomas and non-adenomas, aiding clinicians in making informed decisions about resection and histopathology. CADDIE also assesses bowel cleanliness by displaying the percentage of visible mucosa and identifies the appendiceal orifice to confirm cecal intubation. Its cloud-based nature allows for seamless software updates without the need for on-site interventions. CADDIE is compatible with existing endoscopy equipment and integrates into current clinical workflows with minimal training required.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Medical institutions seeking a solution to enhance the detection of dysplasia in Barrett’s oesophagus during gastroscopy procedures
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Audience
Gastroenterologists and healthcare facilities requiring a solution to enhance polyp detection and characterization during colonoscopy procedures
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationOdin Vision
United Kingdom
odin-vision.com/en_gb/cadu-2/
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Company InformationOdin Vision
United Kingdom
odin-vision.com/en_gb/caddie-2/
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Categories |
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Integrations
NVIDIA DRIVE
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