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Description
CSAM Media provides a comprehensive online platform for managing medical images and videos, facilitating their collection, assessment, storage, and sharing. This system enables healthcare providers to quickly and securely access a centralized visual repository of images and videos. CSAM Media functions as a web-based application for diagnostic purposes, offering robust image management features, editing capabilities, and the ability to capture frames from various sources, such as cameras, video feeds, and mobile devices. It seamlessly integrates with all healthcare systems and medical apparatus utilized in outpatient, inpatient, and primary care settings, including electronic patient record systems. Distinctive features of CSAM Media enable users to annotate and modify images and videos; for instance, the text tool allows direct comments on visuals, while the freehand tool facilitates the measurement of graphic elements. Moreover, it provides the capability to juxtapose historical materials with new images and videos, enhancing the analytical process and ensuring a thorough examination of patient records. By streamlining these tasks, CSAM Media significantly improves the efficiency and effectiveness of medical imaging workflows.
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.
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
CSAM
Founded
2005
Country
Norway
Website
www.csamhealth.com/solutions/medical-imaging/csam-media/
Vendor Details
Company Name
ASUS
Founded
1989
Country
China
Website
www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/
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