EndoAim

EndoAim

ASUS
+
+

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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

Intelligent, intuitive, and rules-driven online scheduling and room management to simplify patient booking, making it fast and virtually error-free. Automatic scheduling of complex segmented procedures. Efficient and paperless patient registration and document management. Upfront, online real-time insurance verification. Manage any number of facilities at once. Integrated auto CDS tool. In addition to automatically capturing DICOM SR data, the Q/ris technologist workflow module is packed full of tools to help your technologist prepare more data-rich studies while saving time for your radiologist. Automatic generation of exam-specific electronic worksheets for technologist notes and annotations. Real-time editing, modifying or rescheduling of exams at any point. Automatic charge capture and interactive supply capture. MIPPS compatible DICOM modality worklist. Automatically capture DICOM SR data from the modality.

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

Healthcare providers seeking a radiology workflow management solution to increase productivity

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

No information available.
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

medQ
Founded: 1996
United States
www.medq.com/q-ris-universal-interoperability/

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Categories

Categories

Medical Imaging Features

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

Radiology Features

Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management

Integrations

ModelOp
OpenVINO
Qualcomm Cloud AI SDK

Integrations

ModelOp
OpenVINO
Qualcomm Cloud AI SDK
Claim EndoAim and update features and information
Claim EndoAim and update features and information
Claim Q/ris 3000 Workflow and update features and information
Claim Q/ris 3000 Workflow and update features and information