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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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.

Description

Revolutionizing the way heart failure is identified, the EchoGo Heart Failure platform leverages artificial intelligence to enhance precision in detecting HFpEF from echocardiograms. Developed in partnership with the Mayo Clinic, this innovative solution simplifies the detection process, achieving remarkable accuracy from just a single apical 4-chamber view, addressing the challenges that have long hindered identification of this condition. As the first AI-driven platform dedicated to HFpEF detection in echocardiography, Ultromics sets the standard in this field, making it a leader in the use of AI for cardiac imaging. Our advanced technology not only allows for earlier and more efficient identification of heart failure but also aims to improve the overall quality of life for patients. Through our user-friendly and secure cloud-based Software-as-a-Service (SaaS) platform, Ultromics seamlessly integrates with existing echocardiography systems, providing labs with the tools necessary for precise heart failure detection and effective risk stratification. This capability has the potential to significantly lower hospitalization rates related to heart failure, ultimately benefiting healthcare systems and patients alike. As we continue to innovate, our commitment remains to transform cardiac care for the better.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenVINO
Qualcomm Cloud AI SDK

Integrations

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

ASUS

Founded

1989

Country

China

Website

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

Vendor Details

Company Name

Ultromics

Country

United Kingdom

Website

www.ultromics.com

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

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