EndoAimASUS
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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.
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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.
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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
Gastroenterologists and medical institutions in need of a solution to enhance polyp detection and classification during colonoscopy procedures
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Audience
Researchers and healthcare professionals interested in a tool to visualize and analyze complex medical imaging data
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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
Free
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 InformationASUS
Founded: 1989
China
www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/
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Company InformationSlice:Drop
slicedrop.com
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