Average Ratings 0 Ratings
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
Ibex Medical Analytics stands at the forefront of AI-driven cancer diagnostics within the field of pathology. Our diverse team comprises entrepreneurs, data scientists, software engineers, and medical professionals united in our mission to revolutionize cancer diagnostics through artificial intelligence, ultimately enhancing patient care. As the volume of tests continues to rise annually, pathologists face significant challenges in delivering precise and timely analyses. To address this, Ibex harnesses the power of AI to create clinical-grade solutions that aim to identify cancer with the same level of accuracy as a human pathologist. The Galen Platform employs advanced algorithms to scrutinize images, detect and classify cancer in biopsy samples, and highlight other clinically significant findings, thereby assisting pathologists in minimizing diagnostic errors while streamlining their workflow. Notably, Ibex’s Galen™ Prostate and Galen™ Breast solutions represent the pioneering AI-based cancer detection tools integrated into routine clinical practice in pathology labs, showcasing proven efficacy in uncovering previously missed cancer cases. As we continue to innovate, our commitment to improving cancer detection and patient outcomes remains unwavering.
API Access
Has API
No
API Access
Has API
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
Yes
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
Ibex Medical Analytics
Founded
2016
Country
Israel
Website
ibex-ai.com/solutions/the-galen-platform/
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