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Average Ratings 0 Ratings
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
API Access
Has API
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
annalise.ai
Founded
2019
Country
Australia
Website
annalise.ai/
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