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support

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Description

CADDIE (Computer-Aided Detection for Endoscopy) is an innovative AI software created by Odin Vision, aimed at enhancing the ability of endoscopists to identify and evaluate colorectal polyps during colonoscopy. Utilizing the robust cloud infrastructure provided by NVIDIA, CADDIE processes live video feeds from traditional white-light endoscopes, offering visual indicators that point out areas of concern for potential polyps. This system classifies polyps into adenomas and non-adenomas, which supports healthcare professionals in making well-informed choices regarding resection and histopathology. Moreover, CADDIE evaluates bowel cleanliness by calculating the percentage of visible mucosa and identifies the appendiceal orifice to ensure successful cecal intubation. Its cloud-based design facilitates effortless software updates, eliminating the necessity for on-site technical interventions. Additionally, CADDIE is built to work seamlessly with existing endoscopy equipment and can be integrated into current clinical practices with little to no training needed, making it a valuable tool in modern gastroenterology. Overall, this technology aims to improve patient outcomes and enhance the accuracy of colorectal screenings.

Description

The ASUS EndoAim AI Endoscopy System represents a state-of-the-art, compact artificial intelligence tool tailored to support gastroenterologists in the identification and categorization of polyps during colonoscopy examinations. By leveraging Intel Core processors alongside the OpenVINO toolkit, EndoAim achieves a remarkable processing rate of 60 frames per second with a latency of under 70 milliseconds, facilitating swift detection of polyps, including those that are particularly small or challenging to find. The system visually highlights potential polyps on the display screen and classifies them as either adenoma or non-adenoma, thus providing immediate feedback to healthcare professionals. Moreover, EndoAim includes a convenient one-click feature for size measurement, which enhances the evaluation of polyp dimensions without relying on traditional visual estimation techniques. This innovative system integrates effortlessly with existing colonoscopy setups, necessitating only a mini PC as additional hardware, and has already seen implementation in more than 30 medical facilities across Taiwan. Its widespread adoption underscores the growing reliance on AI technologies in improving diagnostic accuracy in gastroenterological practices.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

NVIDIA DRIVE
OpenVINO
Qualcomm Cloud AI SDK

Integrations

NVIDIA DRIVE
OpenVINO
Qualcomm Cloud AI SDK

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

Odin Vision

Country

United Kingdom

Website

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

Vendor Details

Company Name

ASUS

Founded

1989

Country

China

Website

www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/

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

Alternatives

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