EndoAim

EndoAim

ASUS
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+

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About

The ASUS EndoAim AI Endoscopy System is a compact, real-time artificial intelligence solution designed to assist gastroenterologists in identifying and classifying polyps during colonoscopy procedures. Utilizing Intel Core processors and the OpenVINO toolkit, EndoAim processes 60 frames per second with a latency of less than 70 milliseconds, enabling rapid detection of polyps, including those that are small or difficult to detect. It highlights potential polyps on-screen and classifies them as adenoma or non-adenoma, providing real-time feedback to clinicians. Additionally, EndoAim offers a one-click size measurement feature, aiding in the assessment of polyp dimensions without the need for traditional visual estimation methods. EndoAim integrates seamlessly with existing colonoscopy equipment, requiring no additional hardware beyond a mini PC, and has been implemented in over 30 medical institutions in Taiwan.

About

Slice:Drop is a web-based, interactive viewer for medical imaging data that allows users to instantly view scientific and medical imaging data in 3D. It supports a variety of scientific file formats out of the box, including volumes, models, and fibers. Users can simply drag and drop their medical imaging files onto the website without any necessary conversions, and they are ready to render. Slice:Drop uses WebGL and HTML5 canvas to render the data in 2D and 3D, utilizing its own open source toolkit called XTK. All data stays on the client, and nothing gets transferred via the internet, ensuring data privacy and security. The platform offers features such as 3D opacity adjustment, window/level settings, thresholding, and label map opacity control for volumes; show/hide, opacity, and scalars settings for meshes; and show/hide and fiber length threshold for fibers.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Gastroenterologists and medical institutions in need of a solution to enhance polyp detection and classification during colonoscopy procedures

Audience

Researchers and healthcare professionals interested in a tool to visualize and analyze complex medical imaging data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ASUS
Founded: 1989
China
www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/

Company Information

Slice:Drop
slicedrop.com

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Categories

Categories

Integrations

HTML
OpenVINO
Qualcomm Cloud AI SDK
WebGL

Integrations

HTML
OpenVINO
Qualcomm Cloud AI SDK
WebGL
Claim EndoAim and update features and information
Claim EndoAim and update features and information
Claim Slice:Drop and update features and information
Claim Slice:Drop and update features and information