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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

By examining up to three images for each study, including both frontal and lateral perspectives, healthcare professionals can enhance their diagnostic capabilities through the correlation of observations from varied angles. The creation of Annalise CXR’s extensive ontology tree was guided by clinical insights, aimed at curating a thorough list of findings deemed essential and beneficial for medical practitioners. Designed by clinicians with a keen awareness of the need for uninterrupted workflow, Annalise CXR’s adaptable user interface integrates smoothly with existing PACS and RIS systems. Clinicians can confidently start using Annalise CXR in less than ten minutes, significantly reducing the learning curve. Furthermore, the confidence bar feature indicates the probability of a finding and the associated uncertainty of the AI model, empowering clinicians to interpret results with greater assurance. This innovative approach not only streamlines the diagnostic process but also enhances overall clinical decision-making.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

OpenVINO Yes 
Qualcomm Cloud AI SDK Yes 

Integrations

OpenVINO No 
Qualcomm Cloud AI SDK No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

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

annalise.ai

Founded

2019

Country

Australia

Website

annalise.ai/

Product Features

Medical Imaging

Automated Routing No 
Comparison View No 
Compliance Management No 
Data Import / Export No 
Diagnostic Reporting No 
Image Analytics No 
Treatment Planning No 
Workflow Management No 

Product Features

Medical Imaging

Automated Routing No 
Comparison View No 
Compliance Management No 
Data Import / Export No 
Diagnostic Reporting No 
Image Analytics No 
Treatment Planning No 
Workflow Management No 

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